原脚本太长，将其划分为不同功能模块以面向对象的编程方式进行封装管理
目前已完成功能设计，但通过全局变量传参，未来需要维护； 包络的产生还不够灵活； 这里只是扫描线路参数和波形，但还没有支持对不同的采样率进行扫描 Signed-off-by: thfu
This commit is contained in:
futh0403
parent
0dec9505c5
commit
59eb3f1d1c
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@ -1,72 +0,0 @@
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%compare FIL with python script
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function diff_plot_py(fs,iir_out, Script_out,title1,title2,a,amp,edge,fileID)
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%输入数据长度不等时取其公共部分
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N = min(length(iir_out),length(Script_out));
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iir_out = iir_out(1:N);
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Script_out = Script_out(1:N);
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diff = (iir_out - Script_out)/amp;%求差，并归一化
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n = (0:1:N-1)/fs;
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%找出关心的数据点
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n_edge = find(n>=edge-1e-12);%edge代表下降沿
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n50 = find(n>=edge+20e-9-1e-12);%下降沿后20ns
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n20_40 = find((n>=edge+20e-9-1e-12) & (n<=edge+40e-9+1e-12));%下降沿后20ns到40ns
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n1000 = find(n>=edge+1000e-9-1e-12);%下降沿后1us
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n1000_1100 = find((n>=edge+1000e-9-1e-12) & (n<=edge+1100e-9+1e-12));%下降沿后1us到1.1us
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ne = find((abs(diff)>=1e-4) & (abs(diff)<1));%误差小于万分之一的点
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ne(1) = 1;
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window_length = 100e-9*fs;
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diff_mean_window = movmean(diff,window_length);
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diff_std_window = movstd(diff,window_length);
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n_mean_window = find((abs(diff_mean_window)>=1e-4) );%100ns窗，误差均值小于万分之一点
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n_std_window = find((abs(diff_std_window)>=1e-4) ); %100ns窗，误差方差小于万分之一点
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n_common = max(n_mean_window(end),n_std_window(end));
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%原始数据作图
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tiledlayout(2,1)
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ax1 = nexttile;
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plot(n,iir_out,n,Script_out)
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legend(title1,title2)
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xlabel('t/s')
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xlim(a)
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grid on
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hold on
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%差值做图
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ax2 = nexttile;
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plot(n,diff)
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xlabel('t/s')
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title('diff')
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grid on
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hold on
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xlim(a)
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linkaxes([ax1,ax2],'x');
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plot_p = @(x)[
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plot(n(x),diff(x),'r*');
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text(n(x), diff(x)+diff(x)*0.1, ['(',num2str(n(x)),',',num2str(diff(x)),')'],'color','k');
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];
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ne(1) = 1;
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% [diff_max,R_mpos] = max(abs(diff));%误差最大值
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% plot_p(R_mpos);
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if a(2) <= 5e-6
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plot_p(n_edge(1));%下降沿
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% plot_p(R_mpos);
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elseif a(2) == 20e-6
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plot_p(n50(1)); %下降沿20ns
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plot_p(n1000(1)); %下降沿1us
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plot_p(ne(end)); %误差小于万分之一
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fprintf(fileID,"Falling edge of 20ns~40ns mean :%.4e\t std :%.4e\t",mean(diff(n20_40)),std(diff(n20_40)));
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fprintf(fileID,"Falling edge of 1us~1.1us mean :%.4e\t std :%.4e\t",mean(diff(n1000_1100)),std(diff(n1000_1100)));
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% fprintf("The error after falling edge of 1us is:%.4e\t",diff(n1000(1)));
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% fprintf("The time of erroe less than 1e-4 is :%.4e us\n",(n(ne(end))-n(n_edge(1))));
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fprintf(fileID,"The mean and std stably less than 1e-4 is :%.4e s\n",(n(n_common)-n(n_edge(1))));
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end
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895
script_m/z_dsp.m
895
script_m/z_dsp.m
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@ -1,343 +1,564 @@
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clc;clear;close all
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% hdlsetuptoolpath('ToolName','Xilinx Vivado','ToolPath','D:\SoftWare\Xilinx\Vivado\2019.2\bin\vivado.bat');
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%%配置参数
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fs_L = 0.75e9; %硬件频率
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fs_H = 12e9; %以高频近似理想信号
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TargetFrequency = 3e9;
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G = 1;
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DownSample = 2;
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simulink_time = 20e-6; %1.5*16e-6;1.5e-3
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intp_mode = 3; %0不内插，1内插2倍，2内插4倍,3内插8倍
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dac_mode_sel = 0; %选择DAC模式，0出八路，1邻近插值，2邻近插值
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route_num = 5; %线路个数
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env_num = 7; %包络个数
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Ideal2Low = fs_H/(fs_L/2);
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Ideal2Target = fs_H/TargetFrequency;
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%% 添加路径、产生包络、配置S21参数、使用脚本计算
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%%添加路径
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% addpath(genpath('D:\Work\EnvData'));
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% addpath(genpath('D:\Work\EnvData\data-v2'));
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% addpath(genpath('D:\Work\TailCorr_20241008_NoGit'));
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% addpath('D:\Work\TailCorr\script_m');
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cd("D:\Work\EnvData\acz");
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obj1 = py.importlib.import_module('acz');
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py.importlib.reload(obj1);
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cd("D:\Work\TailCorr_20241008_NoGit");
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obj2 = py.importlib.import_module('wave_calculation');
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py.importlib.reload(obj2);
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cd("D:\Work\TailCorr");
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%%产生包络
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%按点数产生理想方波
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% amp_rect = 1.5e4;
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% %单位是ns front是到达时间，flat是持续时间，lagging是后边还有多少个0，会影响脚本的修正时间
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% [front(1), flat(1), lagging(1)] = deal(50,100,7400);% 50,100,7400;100ns方波
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% [front(2), flat(2), lagging(2)] = deal(50,4000,11500);% 50,4000,11500；4us方波
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%
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% for i = 1:2
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% front_H(i) = front(i)*fs_H/1e9; flat_H(i) = flat(i)*fs_H/1e9; lagging_H(i) = lagging(i)*fs_H/1e9;
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% wave_pre{i} = amp_rect*cat(2,zeros(1,front_H(i)),ones(1,flat_H(i)),zeros(1,lagging_H(i)));%脚本的单位是点数
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% end
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%flattop波
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A = 1.5e4;
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[edge(1), length_flattop(1)] = deal(2,30);%ns，在fsn_L取1时是参数里的length
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[edge(2), length_flattop(2)] = deal(4,30);
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[edge(3), length_flattop(3)] = deal(4,50);
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[edge(4), length_flattop(4)] = deal(4,1000);
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[edge(5), length_flattop(5)] = deal(100,10000);
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for i = 1:5
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[edge_H(i), length_H(i)] = deal(edge(i)*fs_H/1e9,length_flattop(i)*fs_H/1e9);
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wave_pre{i} = flattop(A, edge_H(i), length_H(i), 1);
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end
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%acz波
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amplitude = 1.5e4;
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carrierFreq = 0.000000;
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carrierPhase = 0.000000;
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dragAlpha = 0.000000;
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thf = 0.864;
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thi = 0.05;
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lam2 = -0.18;
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lam3 = 0.04;
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length_acz(1) = 30;
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length_acz(2) = 50;
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for i = 1:2
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length_acz_H(i) = int32(length_acz(i)*fs_H/1e9);
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wave_pre{i+5} = real(double(py.acz.aczwave(amplitude, length_acz_H(i), carrierFreq,carrierPhase, dragAlpha,thf, thi, lam2, lam3)));
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end
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for i = 1:7
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wave_pre{i} = cat(2,wave_pre{i},zeros(1,floor(simulink_time*fs_H))); %校正前的高频信号
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wave_preL{i} = wave_pre{i}(1:Ideal2Low:end); %校正前的低频信号
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end
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%%S21参数
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amp_real{1}= [0.025 0.015 0.0002 0.2 0 0];
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amp_imag{1}= [0 0 0 0 0 0];
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time_real{1} = [-1/250, -1/650, -1/1600 -1/20 0 0];
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time_imag{1} = [0 0 0 0 0 0];
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amp_real{2}= [0.025 0.015 0.0002 0.2 0 0];
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amp_imag{2}= [0 0 0 0 0 0];
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time_real{2} = [-1/250, -1/650, -1/1600 -1/20 0 0];
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time_imag{2} = [0 -1/300 -1/500 0 0 0];
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amp_real{3}= [0.025 0.009 0.0002 0.2 0 0];
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amp_imag{3}= [0 0.012 0 0 0 0];
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time_real{3} = [-1/250, -1/650, -1/1600 -1/20 0 0];
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time_imag{3} = [0 -1/300 -1/500 0 0 0];
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amp_real{4}= [0.025 0.015 0.0002 0.2 0 0];
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amp_imag{4}= [0 0 0 0 0 0];
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time_real{4} = [-1/250, -1/2000, -1/1600 -1/20 0 0];
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time_imag{4} = [0 -1/15 -1/50 0 0 0];
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amp_real{5}= [0.025 0.009 0.0002 0.2 0 0];
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amp_imag{5}= [0 0.012 0 0 0 0];
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time_real{5} = [-1/250, -1/2000, -1/1600 -1/20 0 0];
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time_imag{5} = [0 -1/15 -1/50 0 0 0];
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for i = 1:5
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amp_routing{i} = amp_real{1,i} + 1j*amp_imag{1,i};
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time_routing{i} = time_real{1,i} + 1j*time_imag{1,i};
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tau{i} = -1./time_routing{i};
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end
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%%python脚本校正结果
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convolve_bound = int8(3);
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calibration_time = int32(20e3);
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cal_method = int8(1);
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sampling_rateL = int64(fs_L/2);
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sampling_rate = int64(fs_H);
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%校正后的高频信号
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for m = 1:route_num
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for n = 1:env_num
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wave_cal = cell(py.wave_calculation.wave_cal(wave_pre{1,n}, amp_real{1,m}, amp_imag{1,m}, time_real{1,m}, time_imag{1,m}, convolve_bound, calibration_time, cal_method, sampling_rate));
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wave_revised{m,n} = double(wave_cal{1,1});
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wave_calL = cell(py.wave_calculation.wave_cal(wave_preL{1,n}, amp_real{1,m}, amp_imag{1,m}, time_real{1,m}, time_imag{1,m}, convolve_bound, calibration_time, cal_method, sampling_rateL));
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wave_revisedL{m,n} = double(wave_calL{1,1});
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end
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alpha{m} = double(wave_calL{1,2});
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beta{m} = double(wave_calL{1,3});
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end
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% signalAnalyzer(wave_pre{1,1},'SampleRate',fs_H);
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%校正后的低频信号
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alpha_wideth=32;
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beta_width=32;
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%定点化系数
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for i = 1:route_num
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alphaFixRe{i} = ceil((2^(alpha_wideth-1))*real(alpha{i}));
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alphaFixIm{i} = ceil((2^(alpha_wideth-1))*imag(alpha{i}));
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betaFixRe{i} = ceil((2^(beta_width-1))*real(beta{i}));
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betaFixIm{i} = ceil((2^(beta_width-1))*imag(beta{i}));
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end
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%% 仿真
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for m = 1:route_num
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for n = 1:env_num
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optnons=simset('SrcWorkspace','current');
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sim('z_dsp_FIL',[0,simulink_time]);
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sim2m = @(x)reshape(logsout.get(x).Values.Data,[],1);
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dout0{m,n} = sim2m("dout0");
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dout1{m,n} = sim2m("dout1");
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dout2{m,n} = sim2m("dout2");
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dout3{m,n} = sim2m("dout3");
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N = length(dout0{m,n});
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cs_wave{m,n} = zeros(4*N,1);
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classdef z_dsp < handle
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properties
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%input
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fs_L;
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fs_H;
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TargetFrequency;
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G;
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simulink_time;
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intp_mode;
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dac_mode_sel;
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route_num;
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env_num;
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cs_wave{m,n}(1:4:4*N) = dout0{m,n};
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cs_wave{m,n}(2:4:4*N) = dout1{m,n};
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cs_wave{m,n}(3:4:4*N) = dout2{m,n};
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cs_wave{m,n}(4:4:4*N) = dout3{m,n};
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%output
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Ideal2Low;
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Ideal2Target;
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wave_pre;
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wave_preL;
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amp_real;
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amp_imag;
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time_real;
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time_imag;
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name;
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wave_revised;
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wave_revisedL;
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DownsamplingBy12GDataAlign;
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HardwareMeanIntpDataAlign;
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Delay;
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Delay_mode;
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pause_time;
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filename;
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rpt_num;
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FallingEdge;
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Amp;
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itv_time; %信号具有周期性时的间隔
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end
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methods
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function obj = z_dsp(fs_L,fs_H,TargetFrequency,G,simulink_time,intp_mode,dac_mode_sel)
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obj.fs_L = fs_L;
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obj.fs_H = fs_H;
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obj.TargetFrequency = TargetFrequency;
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obj.G = G;
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obj.simulink_time = simulink_time;
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obj.intp_mode = intp_mode;
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obj.dac_mode_sel = dac_mode_sel;
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obj.Ideal2Low = fs_H/(fs_L/2);
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obj.Ideal2Target = fs_H/TargetFrequency;
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obj.name = [
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"第一组S21参数_flattop_上升沿2ns_持续时间30ns_下降沿",...
|
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"第一组S21参数_flattop_上升沿4ns_持续时间30ns_下降沿",...
|
||||
"第一组S21参数_flattop_上升沿4ns_持续时间50ns_下降沿",...
|
||||
"第一组S21参数_flattop_上升沿4ns_持续时间1000ns_下降沿",...
|
||||
"第一组S21参数_flattop_上升沿100ns_持续时间10000ns_下降沿",...
|
||||
"第一组S21参数_acz_持续时间30ns_下降沿",...
|
||||
"第一组S21参数_acz_持续时间50ns_下降沿";
|
||||
"第二组S21参数_flattop_上升沿2ns_持续时间30ns_下降沿",...
|
||||
"第二组S21参数_flattop_上升沿4ns_持续时间30ns_下降沿",...
|
||||
"第二组S21参数_flattop_上升沿4ns_持续时间50ns_下降沿",...
|
||||
"第二组S21参数_flattop_上升沿4ns_持续时间1000ns_下降沿",...
|
||||
"第二组S21参数_flattop_上升沿100ns_持续时间10000ns_下降沿",...
|
||||
"第二组S21参数_acz_持续时间30ns_下降沿",...
|
||||
"第二组S21参数_acz_持续时间50ns_下降沿";
|
||||
"第三组S21参数_flattop_上升沿2ns_持续时间30ns_下降沿",...
|
||||
"第三组S21参数_flattop_上升沿4ns_持续时间30ns_下降沿",...
|
||||
"第三组S21参数_flattop_上升沿4ns_持续时间50ns_下降沿",...
|
||||
"第三组S21参数_flattop_上升沿4ns_持续时间1000ns_下降沿",...
|
||||
"第三组S21参数_flattop_上升沿100ns_持续时间10000ns_下降沿",...
|
||||
"第三组S21参数_acz_持续时间30ns_下降沿",...
|
||||
"第三组S21参数_acz_持续时间50ns_下降沿";
|
||||
"第四组S21参数_flattop_上升沿2ns_持续时间30ns_下降沿",...
|
||||
"第四组S21参数_flattop_上升沿4ns_持续时间30ns_下降沿",...
|
||||
"第四组S21参数_flattop_上升沿4ns_持续时间50ns_下降沿",...
|
||||
"第四组S21参数_flattop_上升沿4ns_持续时间1000ns_下降沿",...
|
||||
"第四组S21参数_flattop_上升沿100ns_持续时间10000ns_下降沿",...
|
||||
"第四组S21参数_acz_持续时间30ns_下降沿",...
|
||||
"第四组S21参数_acz_持续时间50ns_下降沿";
|
||||
"第五组S21参数_flattop_上升沿2ns_持续时间30ns_下降沿",...
|
||||
"第五组S21参数_flattop_上升沿4ns_持续时间30ns_下降沿",...
|
||||
"第五组S21参数_flattop_上升沿4ns_持续时间50ns_下降沿",...
|
||||
"第五组S21参数_flattop_上升沿4ns_持续时间1000ns_下降沿",...
|
||||
"第五组S21参数_flattop_上升沿100ns_持续时间10000ns_下降沿",...
|
||||
"第五组S21参数_acz_持续时间30ns_下降沿",...
|
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"第五组S21参数_acz_持续时间50ns_下降沿";
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||||
"第一组S21参数_flattop_上升沿2ns_持续时间30ns_下降沿后",...
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||||
"第一组S21参数_flattop_上升沿4ns_持续时间30ns_下降沿后",...
|
||||
"第一组S21参数_flattop_上升沿4ns_持续时间50ns_下降沿后",...
|
||||
"第一组S21参数_flattop_上升沿4ns_持续时间1000ns_下降沿后",...
|
||||
"第一组S21参数_flattop_上升沿100ns_持续时间10000ns_下降沿后",...
|
||||
"第一组S21参数_acz_持续时间30ns_下降沿后",...
|
||||
"第一组S21参数_acz_持续时间50ns_下降沿后";
|
||||
"第二组S21参数_flattop_上升沿2ns_持续时间30ns_下降沿后",...
|
||||
"第二组S21参数_flattop_上升沿4ns_持续时间30ns_下降沿后",...
|
||||
"第二组S21参数_flattop_上升沿4ns_持续时间50ns_下降沿后",...
|
||||
"第二组S21参数_flattop_上升沿4ns_持续时间1000ns_下降沿后",...
|
||||
"第二组S21参数_flattop_上升沿100ns_持续时间10000ns_下降沿后",...
|
||||
"第二组S21参数_acz_持续时间30ns_下降沿后",...
|
||||
"第二组S21参数_acz_持续时间50ns_下降沿后";
|
||||
"第三组S21参数_flattop_上升沿2ns_持续时间30ns_下降沿后",...
|
||||
"第三组S21参数_flattop_上升沿4ns_持续时间30ns_下降沿后",...
|
||||
"第三组S21参数_flattop_上升沿4ns_持续时间50ns_下降沿后",...
|
||||
"第三组S21参数_flattop_上升沿4ns_持续时间1000ns_下降沿后",...
|
||||
"第三组S21参数_flattop_上升沿100ns_持续时间10000ns_下降沿后",...
|
||||
"第三组S21参数_acz_持续时间30ns_下降沿后",...
|
||||
"第三组S21参数_acz_持续时间50ns_下降沿后";
|
||||
"第四组S21参数_flattop_上升沿2ns_持续时间30ns_下降沿后",...
|
||||
"第四组S21参数_flattop_上升沿4ns_持续时间30ns_下降沿后",...
|
||||
"第四组S21参数_flattop_上升沿4ns_持续时间50ns_下降沿后",...
|
||||
"第四组S21参数_flattop_上升沿4ns_持续时间1000ns_下降沿后",...
|
||||
"第四组S21参数_flattop_上升沿100ns_持续时间10000ns_下降沿后",...
|
||||
"第四组S21参数_acz_持续时间30ns_下降沿后",...
|
||||
"第四组S21参数_acz_持续时间50ns_下降沿后";
|
||||
"第五组S21参数_flattop_上升沿2ns_持续时间30ns_下降沿后",...
|
||||
"第五组S21参数_flattop_上升沿4ns_持续时间30ns_下降沿后",...
|
||||
"第五组S21参数_flattop_上升沿4ns_持续时间50ns_下降沿后",...
|
||||
"第五组S21参数_flattop_上升沿4ns_持续时间1000ns_下降沿后",...
|
||||
"第五组S21参数_flattop_上升沿100ns_持续时间10000ns_下降沿后",...
|
||||
"第五组S21参数_acz_持续时间30ns_下降沿后",...
|
||||
"第五组S21参数_acz_持续时间50ns_下降沿后";
|
||||
];
|
||||
obj.pause_time = 0.5;
|
||||
obj.Amp = 1.5e4;
|
||||
end
|
||||
|
||||
function env(obj)
|
||||
|
||||
cd("D:\Work\EnvData\acz");
|
||||
obj1 = py.importlib.import_module('acz');
|
||||
py.importlib.reload(obj1);
|
||||
|
||||
%按点数产生理想方波
|
||||
% amp_rect = 1.5e4;
|
||||
% %单位是ns front是到达时间，flat是持续时间，lagging是后边还有多少个0，会影响脚本的修正时间
|
||||
% [front(1), flat(1), lagging(1)] = deal(50,100,7400);% 50,100,7400;100ns方波
|
||||
% [front(2), flat(2), lagging(2)] = deal(50,4000,11500);% 50,4000,11500；4us方波
|
||||
%
|
||||
% for i = 1:2
|
||||
% front_H(i) = front(i)*fs_H/1e9; flat_H(i) = flat(i)*fs_H/1e9; lagging_H(i) = lagging(i)*fs_H/1e9;
|
||||
% wave_pre{i} = amp_rect*cat(2,zeros(1,front_H(i)),ones(1,flat_H(i)),zeros(1,lagging_H(i)));%脚本的单位是点数
|
||||
% end
|
||||
%flattop波
|
||||
A = 1.5e4;
|
||||
[edge(1), length_flattop(1)] = deal(2,30);%ns，在fsn_L取1时是参数里的length
|
||||
[edge(2), length_flattop(2)] = deal(4,30);
|
||||
[edge(3), length_flattop(3)] = deal(4,50);
|
||||
[edge(4), length_flattop(4)] = deal(4,1000);
|
||||
[edge(5), length_flattop(5)] = deal(100,10000);
|
||||
|
||||
for i = 1:length(length_flattop)
|
||||
[edge_H(i), length_H(i)] = deal(edge(i)*obj.fs_H/1e9,length_flattop(i)*obj.fs_H/1e9);
|
||||
obj.wave_pre{i} = flattop(A, edge_H(i), length_H(i), 1);
|
||||
end
|
||||
|
||||
%acz波
|
||||
amplitude = 1.5e4;
|
||||
|
||||
carrierFreq = 0.000000;
|
||||
carrierPhase = 0.000000;
|
||||
dragAlpha = 0.000000;
|
||||
thf = 0.864;
|
||||
thi = 0.05;
|
||||
lam2 = -0.18;
|
||||
lam3 = 0.04;
|
||||
|
||||
length_acz(1) = 30;
|
||||
length_acz(2) = 50;
|
||||
|
||||
for i = 1:length(length_acz)
|
||||
length_acz_H(i) = int32(length_acz(i)*obj.fs_H/1e9);
|
||||
obj.wave_pre{i+length(length_flattop)} = real(double(py.acz.aczwave(amplitude, length_acz_H(i), carrierFreq,carrierPhase, dragAlpha,thf, thi, lam2, lam3)));
|
||||
end
|
||||
|
||||
obj.env_num = length(length_flattop) + length(length_acz);
|
||||
|
||||
for i = 1:obj.env_num
|
||||
obj.wave_pre{i} = cat(2,repmat(cat(2,obj.wave_pre{i},zeros(1,round(30e-9*obj.fs_H))),1,obj.rpt_num),zeros(1,floor(obj.simulink_time*obj.fs_H))); %校正前的高频信号
|
||||
obj.wave_preL{i} = obj.wave_pre{i}(1:obj.Ideal2Low:end); %校正前的低频信号
|
||||
end
|
||||
|
||||
assignin("base",'wave_preL',obj.wave_preL);
|
||||
obj.FallingEdge = [30e-9,30e-9,50e-9,1000e-9,10000e-9,30e-9,50e-9];
|
||||
|
||||
end
|
||||
|
||||
function route(obj)
|
||||
|
||||
obj.amp_real{1}= [0.025 0.015 0.0002 0.2 0 0];
|
||||
obj.amp_imag{1}= [0 0 0 0 0 0];
|
||||
obj.time_real{1} = [-1/250, -1/650, -1/1600 -1/20 0 0];
|
||||
obj.time_imag{1} = [0 0 0 0 0 0];
|
||||
|
||||
obj.amp_real{2}= [0.025 0.015 0.0002 0.2 0 0];
|
||||
obj.amp_imag{2}= [0 0 0 0 0 0];
|
||||
obj.time_real{2} = [-1/250, -1/650, -1/1600 -1/20 0 0];
|
||||
obj.time_imag{2} = [0 -1/300 -1/500 0 0 0];
|
||||
|
||||
obj.amp_real{3}= [0.025 0.009 0.0002 0.2 0 0];
|
||||
obj.amp_imag{3}= [0 0.012 0 0 0 0];
|
||||
obj.time_real{3} = [-1/250, -1/650, -1/1600 -1/20 0 0];
|
||||
obj.time_imag{3} = [0 -1/300 -1/500 0 0 0];
|
||||
|
||||
obj.amp_real{4}= [0.025 0.015 0.0002 0.2 0 0];
|
||||
obj.amp_imag{4}= [0 0 0 0 0 0];
|
||||
obj.time_real{4} = [-1/250, -1/2000, -1/1600 -1/20 0 0];
|
||||
obj.time_imag{4} = [0 -1/15 -1/50 0 0 0];
|
||||
|
||||
obj.amp_real{5}= [0.025 0.009 0.0002 0.2 0 0];
|
||||
obj.amp_imag{5}= [0 0.012 0 0 0 0];
|
||||
obj.time_real{5} = [-1/250, -1/2000, -1/1600 -1/20 0 0];
|
||||
obj.time_imag{5} = [0 -1/15 -1/50 0 0 0];
|
||||
|
||||
[m,n] = size(obj.amp_real);
|
||||
obj.route_num = n;
|
||||
end
|
||||
|
||||
function py_cal(obj)
|
||||
|
||||
cd("D:\Work\TailCorr_20241008_NoGit");
|
||||
obj2 = py.importlib.import_module('wave_calculation');
|
||||
py.importlib.reload(obj2);
|
||||
cd("D:\Work\TailCorr");
|
||||
|
||||
convolve_bound = int8(3);
|
||||
calibration_time = int32(20e3);
|
||||
cal_method = int8(1);
|
||||
sampling_rateL = int64(obj.fs_L/2);
|
||||
sampling_rate = int64(obj.fs_H);
|
||||
|
||||
%校正后的高频信号
|
||||
for m = 1:obj.route_num
|
||||
for n = 1:obj.env_num
|
||||
wave_cal = cell(py.wave_calculation.wave_cal(obj.wave_pre{1,n}, obj.amp_real{1,m}, obj.amp_imag{1,m}, obj.time_real{1,m}, obj.time_imag{1,m}, convolve_bound, calibration_time, cal_method, sampling_rate));
|
||||
obj.wave_revised{m,n} = double(wave_cal{1,1});
|
||||
wave_calL = cell(py.wave_calculation.wave_cal(obj.wave_preL{1,n}, obj.amp_real{1,m}, obj.amp_imag{1,m}, obj.time_real{1,m}, obj.time_imag{1,m}, convolve_bound, calibration_time, cal_method, sampling_rateL));
|
||||
obj.wave_revisedL{m,n} = double(wave_calL{1,1});
|
||||
end
|
||||
alpha{m} = double(wave_calL{1,2});
|
||||
beta{m} = double(wave_calL{1,3});
|
||||
end
|
||||
alpha_wideth=32;
|
||||
beta_width=32;
|
||||
%定点化系数
|
||||
for i = 1:obj.route_num
|
||||
alphaFixRe{i} = ceil((2^(alpha_wideth-1))*real(alpha{i}));
|
||||
alphaFixIm{i} = ceil((2^(alpha_wideth-1))*imag(alpha{i}));
|
||||
betaFixRe{i} = ceil((2^(beta_width-1))*real(beta{i}));
|
||||
betaFixIm{i} = ceil((2^(beta_width-1))*imag(beta{i}));
|
||||
end
|
||||
|
||||
assignin('base', 'alphaFixRe', alphaFixRe);
|
||||
assignin('base', 'alphaFixIm', alphaFixIm);
|
||||
assignin('base', 'betaFixRe' , betaFixRe);
|
||||
assignin('base', 'betaFixIm' , betaFixIm);
|
||||
end
|
||||
|
||||
function FIL(obj)
|
||||
|
||||
for m = 1:obj.route_num
|
||||
assignin('base', 'm', m);
|
||||
for n = 1:obj.env_num
|
||||
assignin('base', 'n', n);
|
||||
optnons=simset('SrcWorkspace','current');
|
||||
sim('z_dsp_FIL',[0,obj.simulink_time]);
|
||||
sim2m = @(x)reshape(logsout.get(x).Values.Data,[],1);
|
||||
dout0{m,n} = sim2m("dout0");
|
||||
dout1{m,n} = sim2m("dout1");
|
||||
dout2{m,n} = sim2m("dout2");
|
||||
dout3{m,n} = sim2m("dout3");
|
||||
|
||||
N = length(dout0{m,n});
|
||||
cs_wave{m,n} = zeros(4*N,1);
|
||||
|
||||
cs_wave{m,n}(1:4:4*N) = dout0{m,n};
|
||||
cs_wave{m,n}(2:4:4*N) = dout1{m,n};
|
||||
cs_wave{m,n}(3:4:4*N) = dout2{m,n};
|
||||
cs_wave{m,n}(4:4:4*N) = dout3{m,n};
|
||||
|
||||
HardwareMeanIntpData{m,n} = cs_wave{m,n};%硬件校正后内插
|
||||
DownsamplingBy12GData{m,n} = obj.wave_revised{m,n}(1:obj.Ideal2Target:end);
|
||||
[obj.DownsamplingBy12GDataAlign{m,n},obj.HardwareMeanIntpDataAlign{m,n},obj.Delay(m,n)] = ...
|
||||
alignsignals(DownsamplingBy12GData{m,n}(1:round(obj.TargetFrequency*20e-6)),HardwareMeanIntpData{m,n}(1:round(obj.TargetFrequency*20e-6)),"Method","xcorr");
|
||||
end
|
||||
end
|
||||
obj.Delay_mode = mode(obj.Delay,'all');
|
||||
fprintf('Delay_mode = %d\n',obj.Delay_mode);
|
||||
end
|
||||
|
||||
function DataShow(obj,save)
|
||||
|
||||
close all;
|
||||
|
||||
fileID = fopen(obj.filename, 'w');
|
||||
if fileID == -1
|
||||
disp('文件打开失败');
|
||||
else
|
||||
disp('文件打开成功');
|
||||
end
|
||||
|
||||
start_time = abs(obj.Delay_mode)/(obj.TargetFrequency/1e9)*1e-9;%由于相位修正后会有偏移的点数，所以需要考虑上这个偏移的时间，采样率为3GHz，3个点对应1ns
|
||||
|
||||
if(obj.rpt_num == 1)
|
||||
for m = 1:obj.route_num
|
||||
for n = 1:obj.env_num
|
||||
edge_Align(n) = obj.FallingEdge(n) + start_time;
|
||||
tmp(n) = edge_Align(n) + 10e-9;
|
||||
a{n} = [start_time-5e-9 tmp(n)];%[1/obj.fs_H 50e-9];[50e-9 1.5e-6],[500e-9+10e-9 tmp-20e-9]
|
||||
b{n} = [tmp(n) 20e-6];
|
||||
|
||||
figure('Units','normalized','Position',[0.0004 0.5174 0.4992 0.4229]);
|
||||
obj.diff_plot_py(obj.TargetFrequency,obj.HardwareMeanIntpDataAlign{m,n}', obj.DownsamplingBy12GDataAlign{m,n}(1:floor(obj.TargetFrequency*20e-6)),obj.name(m,n),'硬件与脚本的差值',a{n},obj.Amp,edge_Align(n),fileID);
|
||||
if(save == "save")
|
||||
savefig(obj.name(m,n));
|
||||
end
|
||||
|
||||
figure('Units','normalized','Position',[0.0004 0.0340 0.4992 0.4229]);
|
||||
obj.diff_plot_py(obj.TargetFrequency,obj.HardwareMeanIntpDataAlign{m,n}', obj.DownsamplingBy12GDataAlign{m,n}(1:floor(obj.TargetFrequency*20e-6)),obj.name(m+5,n),'硬件与脚本的差值',b{n},obj.Amp,edge_Align(n),fileID);
|
||||
if(save == "save")
|
||||
savefig(obj.name(m+5,n));
|
||||
end
|
||||
end
|
||||
end
|
||||
else
|
||||
for m = 1:obj.route_num
|
||||
for n = 1:obj.env_num
|
||||
figure('Units','normalized','Position',[0 0.0333 1.0000 0.9125]);
|
||||
title(obj.name(m,n),Interpreter="none");
|
||||
tiledlayout('vertical','TileSpacing','tight')
|
||||
obj.diff_plot_py(obj.TargetFrequency,obj.HardwareMeanIntpDataAlign{m,n}', obj.DownsamplingBy12GDataAlign{m,n}(1:floor(obj.TargetFrequency*20e-6)),obj.name(m,n),'硬件与脚本的差值',obj.FallingEdge(n)+obj.itv_time,obj.Amp,start_time,fileID);
|
||||
if(save == "save")
|
||||
savefig(obj.name(m,n));
|
||||
end
|
||||
end
|
||||
end
|
||||
end
|
||||
|
||||
fclose(fileID);
|
||||
|
||||
end
|
||||
|
||||
HardwareMeanIntpData{m,n} = cs_wave{m,n};%硬件校正后内插
|
||||
DownsamplingBy12GData{m,n} = wave_revised{m,n}(1:Ideal2Target:end);
|
||||
[DownsamplingBy12GDataAlign{m,n},HardwareMeanIntpDataAlign{m,n},Delay(m,n)] = ...
|
||||
alignsignals(DownsamplingBy12GData{m,n}(1:round(TargetFrequency*20e-6)),HardwareMeanIntpData{m,n}(1:round(TargetFrequency*20e-6)),"Method","xcorr");
|
||||
function RouteShow(obj,save)
|
||||
|
||||
t = 0:1/(1e2):10000;
|
||||
for i = 1:5
|
||||
amp_routing{i} = obj.amp_real{1,i} + 1j*obj.amp_imag{1,i};
|
||||
time_routing{i} = obj.time_real{1,i} + 1j*obj.time_imag{1,i};
|
||||
tau{i} = -1./time_routing{i};
|
||||
end
|
||||
|
||||
figure()
|
||||
set(gcf,"Position",[1 49 2560 1314])
|
||||
tiledlayout('flow','TileSpacing','tight');
|
||||
title_name = ["第一组S_{21}参数","第二组S_{21}参数","第三组S_{21}参数","第四组S_{21}参数","第五组S_{21}参数"];
|
||||
for m = 1:obj.route_num
|
||||
for n = 1:1:length(amp_routing{1,m})
|
||||
S21_time{m}(:,n) = amp_routing{1,m}(n)*exp(time_routing{1,m}(n)*t);
|
||||
end
|
||||
nexttile
|
||||
plot(t*1e-9,real(sum(S21_time{m},2)));
|
||||
grid on
|
||||
title(title_name(m));
|
||||
end
|
||||
|
||||
if(save == "save")
|
||||
savefig("S21线路参数");
|
||||
end
|
||||
|
||||
end
|
||||
|
||||
function FigDisplay(obj)
|
||||
if(obj.rpt_num == 1)
|
||||
for m = 1:obj.route_num*obj.env_num
|
||||
figure(2*m-1)
|
||||
figure(2*m)
|
||||
pause(obj.pause_time);
|
||||
end
|
||||
|
||||
else
|
||||
for m = 1:obj.route_num*obj.env_num
|
||||
figure(m)
|
||||
pause(obj.pause_time);
|
||||
end
|
||||
end
|
||||
end
|
||||
|
||||
function LoadFigAndDisplay(obj)
|
||||
for n = 1:obj.route_num
|
||||
for m = 1:obj.env_num
|
||||
open(strcat(obj.name(n,m),'.fig'));
|
||||
open(strcat(obj.name(n+5,m),'.fig'));
|
||||
pause(obj.pause_time);
|
||||
end
|
||||
end
|
||||
end
|
||||
|
||||
function ErrAny(obj,save)
|
||||
fid = fopen(obj.filename,'r');
|
||||
if(obj.rpt_num == 1)
|
||||
data = textscan(fid,'Falling edge of 20ns~40ns mean :%s std :%s Falling edge of 1us~1.1us mean :%s std :%s The mean and std stably less than 1e-4 is :%s s');
|
||||
fclose(fid);
|
||||
data{1} = cellfun(@str2num,data{1});
|
||||
data{2} = cellfun(@str2num,data{2});
|
||||
data{3} = cellfun(@str2num,data{3});
|
||||
data{4} = cellfun(@str2num,data{4});
|
||||
data{5} = cellfun(@str2num,data{5});
|
||||
title_name = ["下降沿后20ns~40ns误差的平均值","下降沿后20ns~40ns误差的标准差","下降沿后1us~1.1us误差的平均值","下降沿后1us~1.1us误差的标准差","加窗参数"];
|
||||
err_threshold = [1e-3 1e-3 1e-4 3e-4 5e-6];
|
||||
else
|
||||
data = textscan(fid,'每个周期拖尾误差均值的标准差 = %s s');
|
||||
fclose(fid);
|
||||
data{1} = cellfun(@str2num,data{1});
|
||||
title_name = ["多周期误差平均值的标准差"];
|
||||
err_threshold = [0.5e-3];
|
||||
end
|
||||
[h,v] = size(data);
|
||||
figure()
|
||||
tiledlayout('flow','TileSpacing','tight')
|
||||
colors = lines(obj.route_num);
|
||||
set(gcf,'Position', [1 49 2560 1314]);
|
||||
for m = 1:v
|
||||
nexttile
|
||||
hold on
|
||||
for i = 1:(obj.route_num)
|
||||
idx = (i-1)*(length(data{m})/obj.route_num) + 1 : i*(length(data{m})/obj.route_num);
|
||||
plot(idx,abs(data{m}(idx)),'-o','Color', colors(i, :));
|
||||
end
|
||||
yline(err_threshold(m),'--r');
|
||||
title(title_name(m));
|
||||
set(gca,'YScale','log');
|
||||
legend("第一组线路","第二组线路","第三组线路","第四组线路","第五组线路",'Location','northwest');
|
||||
end
|
||||
if(obj.rpt_num == 1)
|
||||
if(save == "save")
|
||||
savefig("单周期误差分析")
|
||||
end
|
||||
else
|
||||
if(save == "save")
|
||||
savefig("多周期误差分析")
|
||||
end
|
||||
end
|
||||
|
||||
end
|
||||
|
||||
%compare FIL with python script
|
||||
function diff_plot_py(obj,fs,iir_out, Script_out,title1,title2,a,amp,edge,fileID)
|
||||
|
||||
%输入数据长度不等时取其公共部分
|
||||
N = min(length(iir_out),length(Script_out));
|
||||
iir_out = iir_out(1:N);
|
||||
Script_out = Script_out(1:N);
|
||||
|
||||
diff = (iir_out - Script_out)/amp;%求差，并归一化
|
||||
|
||||
n = (0:1:N-1)/fs;
|
||||
%找出关心的数据点
|
||||
if(obj.rpt_num == 1)
|
||||
n_edge = find(n>=edge-1e-12);%edge代表下降沿
|
||||
n50 = find(n>=edge+20e-9-1e-12);%下降沿后20ns
|
||||
n20_40 = find((n>=edge+20e-9-1e-12) & (n<=edge+40e-9+1e-12));%下降沿后20ns到40ns
|
||||
n1000 = find(n>=edge+1000e-9-1e-12);%下降沿后1us
|
||||
n1000_1100 = find((n>=edge+1000e-9-1e-12) & (n<=edge+1100e-9+1e-12));%下降沿后1us到1.1us
|
||||
|
||||
ne = find((abs(diff)>=1e-4) & (abs(diff)<1));%误差小于万分之一的点
|
||||
ne(1) = 1;
|
||||
|
||||
window_length = 100e-9*fs;
|
||||
diff_mean_window = movmean(diff,window_length);
|
||||
diff_std_window = movstd(diff,window_length);
|
||||
n_mean_window = find((abs(diff_mean_window)>=1e-4) );%100ns窗，误差均值小于万分之一点
|
||||
n_std_window = find((abs(diff_std_window)>=1e-4) ); %100ns窗，误差方差小于万分之一点
|
||||
n_common = max(n_mean_window(end),n_std_window(end));
|
||||
%原始数据作图
|
||||
tiledlayout(2,1)
|
||||
ax1 = nexttile;
|
||||
plot(n,iir_out,n,Script_out)
|
||||
legend('硬件','软件');
|
||||
xlabel('t/s')
|
||||
xlim(a);
|
||||
title(title1,Interpreter="none");
|
||||
grid on
|
||||
hold on
|
||||
|
||||
%差值做图
|
||||
ax2 = nexttile;
|
||||
plot(n,diff)
|
||||
xlabel('t/s')
|
||||
title('diff')
|
||||
grid on
|
||||
hold on
|
||||
xlim(a)
|
||||
title('硬件与脚本的差值',Interpreter="none");
|
||||
linkaxes([ax1,ax2],'x');
|
||||
|
||||
plot_p = @(x)[
|
||||
plot(n(x),diff(x),'r*');
|
||||
text(n(x), diff(x)+diff(x)*0.1, ['(',num2str(n(x)),',',num2str(diff(x)),')'],'color','k');
|
||||
];
|
||||
|
||||
ne(1) = 1;
|
||||
|
||||
% [diff_max,R_mpos] = max(abs(diff));%误差最大值
|
||||
% plot_p(R_mpos);
|
||||
|
||||
if a(2) <= 5e-6
|
||||
plot_p(n_edge(1));%下降沿
|
||||
% plot_p(R_mpos);
|
||||
elseif a(2) == 20e-6
|
||||
plot_p(n50(1)); %下降沿20ns
|
||||
plot_p(n1000(1)); %下降沿1us
|
||||
plot_p(ne(end)); %误差小于万分之一
|
||||
fprintf(fileID,"Falling edge of 20ns~40ns mean :%.4e\t std :%.4e\t",mean(diff(n20_40)),std(diff(n20_40)));
|
||||
fprintf(fileID,"Falling edge of 1us~1.1us mean :%.4e\t std :%.4e\t",mean(diff(n1000_1100)),std(diff(n1000_1100)));
|
||||
% fprintf("The error after falling edge of 1us is:%.4e\t",diff(n1000(1)));
|
||||
% fprintf("The time of erroe less than 1e-4 is :%.4e us\n",(n(ne(end))-n(n_edge(1))));
|
||||
fprintf(fileID,"The mean and std stably less than 1e-4 is :%.4e s\n",(n(n_common)-n(n_edge(1))));
|
||||
end
|
||||
else
|
||||
n_start = find(n>=edge-1e-12);%edge代表下降沿
|
||||
|
||||
% 确定周期长度对应的采样点数量
|
||||
T = a; %在这种情况下，a这个参数用不到了，使用其传递周期，也就是说a这个参数有两种不同的涵义
|
||||
samples_per_period = round(T * fs); % 每个周期采样点数
|
||||
num_periods = obj.rpt_num; % 总周期数
|
||||
period_means = zeros(1, num_periods); % 存储每周期均值
|
||||
|
||||
for i = 1:num_periods
|
||||
% 提取当前周期的起止索引
|
||||
start_idx(i) = n_start(1) + (i - 1) * samples_per_period;
|
||||
end_idx(i) = n_start(1) + i * samples_per_period;
|
||||
|
||||
% 提取当前周期的数据
|
||||
period_data = diff(start_idx(i):end_idx(i));
|
||||
|
||||
% 计算当前周期的均值
|
||||
period_means(i) = mean(period_data);
|
||||
end
|
||||
fprintf(fileID,"每个周期拖尾误差均值的标准差 = %.4e s\n",std(period_means));
|
||||
ax1 = nexttile;
|
||||
plot(n,iir_out,n,Script_out);
|
||||
hold on
|
||||
plot(n(start_idx), Script_out(start_idx), 'r*'); % 标记每个周期的起始点
|
||||
plot(n(end_idx), Script_out(end_idx), 'g*'); % 标记每个周期的起始点
|
||||
legend('硬件','软件');
|
||||
xlabel('t/s');
|
||||
title(title1,Interpreter="none");
|
||||
ax2 = nexttile;
|
||||
hold on
|
||||
plot(n, diff); hold on; % 原始信号
|
||||
plot(n(end_idx), diff(end_idx), 'g*'); % 标记每个周期的起始点
|
||||
xlabel('t/s');
|
||||
ylabel('归一化误差');
|
||||
linkaxes([ax1,ax2],'x');
|
||||
xlim([0,n(end_idx(end)) + 5e-7]);
|
||||
title(title2,Interpreter="none");
|
||||
|
||||
end
|
||||
end
|
||||
|
||||
|
||||
|
||||
end
|
||||
end
|
||||
% signalAnalyzer(wave_revised,'SampleRate',3e9);
|
||||
%% 绘图并保存
|
||||
close all;
|
||||
|
||||
Amp = 1.5e4;
|
||||
FallingEdge = [
|
||||
% 150e-9,4050e-9,...%矩形波
|
||||
30e-9,30e-9,50e-9,1000e-9,10000e-9,...%flattop
|
||||
30e-9,50e-9%acz
|
||||
];
|
||||
|
||||
name = [
|
||||
"第一组S21参数_flattop_上升沿2ns_持续时间30ns_下降沿后10ns",...
|
||||
"第一组S21参数_flattop_上升沿4ns_持续时间30ns_下降沿后10ns",...
|
||||
"第一组S21参数_flattop_上升沿4ns_持续时间50ns_下降沿后10ns",...
|
||||
"第一组S21参数_flattop_上升沿4ns_持续时间1000ns_下降沿后10ns",...
|
||||
"第一组S21参数_flattop_上升沿100ns_持续时间10000ns_下降沿后10ns",...
|
||||
"第一组S21参数_acz_持续时间30ns_下降沿后10ns",...
|
||||
"第一组S21参数_acz_持续时间50ns_下降沿后10ns";
|
||||
"第二组S21参数_flattop_上升沿2ns_持续时间30ns_下降沿后10ns",...
|
||||
"第二组S21参数_flattop_上升沿4ns_持续时间30ns_下降沿后10ns",...
|
||||
"第二组S21参数_flattop_上升沿4ns_持续时间50ns_下降沿后10ns",...
|
||||
"第二组S21参数_flattop_上升沿4ns_持续时间1000ns_下降沿后10ns",...
|
||||
"第二组S21参数_flattop_上升沿100ns_持续时间10000ns_下降沿后10ns",...
|
||||
"第二组S21参数_acz_持续时间30ns_下降沿后10ns",...
|
||||
"第二组S21参数_acz_持续时间50ns_下降沿后10ns";
|
||||
"第三组S21参数_flattop_上升沿2ns_持续时间30ns_下降沿后10ns",...
|
||||
"第三组S21参数_flattop_上升沿4ns_持续时间30ns_下降沿后10ns",...
|
||||
"第三组S21参数_flattop_上升沿4ns_持续时间50ns_下降沿后10ns",...
|
||||
"第三组S21参数_flattop_上升沿4ns_持续时间1000ns_下降沿后10ns",...
|
||||
"第三组S21参数_flattop_上升沿100ns_持续时间10000ns_下降沿后10ns",...
|
||||
"第三组S21参数_acz_持续时间30ns_下降沿后10ns",...
|
||||
"第三组S21参数_acz_持续时间50ns_下降沿后10ns";
|
||||
"第四组S21参数_flattop_上升沿2ns_持续时间30ns_下降沿后10ns",...
|
||||
"第四组S21参数_flattop_上升沿4ns_持续时间30ns_下降沿后10ns",...
|
||||
"第四组S21参数_flattop_上升沿4ns_持续时间50ns_下降沿后10ns",...
|
||||
"第四组S21参数_flattop_上升沿4ns_持续时间1000ns_下降沿后10ns",...
|
||||
"第四组S21参数_flattop_上升沿100ns_持续时间10000ns_下降沿后10ns",...
|
||||
"第四组S21参数_acz_持续时间30ns_下降沿后10ns",...
|
||||
"第四组S21参数_acz_持续时间50ns_下降沿后10ns";
|
||||
"第五组S21参数_flattop_上升沿2ns_持续时间30ns_下降沿后10ns",...
|
||||
"第五组S21参数_flattop_上升沿4ns_持续时间30ns_下降沿后10ns",...
|
||||
"第五组S21参数_flattop_上升沿4ns_持续时间50ns_下降沿后10ns",...
|
||||
"第五组S21参数_flattop_上升沿4ns_持续时间1000ns_下降沿后10ns",...
|
||||
"第五组S21参数_flattop_上升沿100ns_持续时间10000ns_下降沿后10ns",...
|
||||
"第五组S21参数_acz_持续时间30ns_下降沿后10ns",...
|
||||
"第五组S21参数_acz_持续时间50ns_下降沿后10ns";
|
||||
"第一组S21参数_flattop_上升沿2ns_持续时间30ns_下降沿后1us",...
|
||||
"第一组S21参数_flattop_上升沿4ns_持续时间30ns_下降沿后1us",...
|
||||
"第一组S21参数_flattop_上升沿4ns_持续时间50ns_下降沿后1us",...
|
||||
"第一组S21参数_flattop_上升沿4ns_持续时间1000ns_下降沿后1us",...
|
||||
"第一组S21参数_flattop_上升沿100ns_持续时间10000ns_下降沿后1us",...
|
||||
"第一组S21参数_acz_持续时间30ns_下降沿后1us",...
|
||||
"第一组S21参数_acz_持续时间50ns_下降沿后1us";
|
||||
"第二组S21参数_flattop_上升沿2ns_持续时间30ns_下降沿后1us",...
|
||||
"第二组S21参数_flattop_上升沿4ns_持续时间30ns_下降沿后1us",...
|
||||
"第二组S21参数_flattop_上升沿4ns_持续时间50ns_下降沿后1us",...
|
||||
"第二组S21参数_flattop_上升沿4ns_持续时间1000ns_下降沿后1us",...
|
||||
"第二组S21参数_flattop_上升沿100ns_持续时间10000ns_下降沿后1us",...
|
||||
"第二组S21参数_acz_持续时间30ns_下降沿后1us",...
|
||||
"第二组S21参数_acz_持续时间50ns_下降沿后1us";
|
||||
"第三组S21参数_flattop_上升沿2ns_持续时间30ns_下降沿后1us",...
|
||||
"第三组S21参数_flattop_上升沿4ns_持续时间30ns_下降沿后1us",...
|
||||
"第三组S21参数_flattop_上升沿4ns_持续时间50ns_下降沿后1us",...
|
||||
"第三组S21参数_flattop_上升沿4ns_持续时间1000ns_下降沿后1us",...
|
||||
"第三组S21参数_flattop_上升沿100ns_持续时间10000ns_下降沿后1us",...
|
||||
"第三组S21参数_acz_持续时间30ns_下降沿后1us",...
|
||||
"第三组S21参数_acz_持续时间50ns_下降沿后1us";
|
||||
"第四组S21参数_flattop_上升沿2ns_持续时间30ns_下降沿后1us",...
|
||||
"第四组S21参数_flattop_上升沿4ns_持续时间30ns_下降沿后1us",...
|
||||
"第四组S21参数_flattop_上升沿4ns_持续时间50ns_下降沿后1us",...
|
||||
"第四组S21参数_flattop_上升沿4ns_持续时间1000ns_下降沿后1us",...
|
||||
"第四组S21参数_flattop_上升沿100ns_持续时间10000ns_下降沿后1us",...
|
||||
"第四组S21参数_acz_持续时间30ns_下降沿后1us",...
|
||||
"第四组S21参数_acz_持续时间50ns_下降沿后1us";
|
||||
"第五组S21参数_flattop_上升沿2ns_持续时间30ns_下降沿后1us",...
|
||||
"第五组S21参数_flattop_上升沿4ns_持续时间30ns_下降沿后1us",...
|
||||
"第五组S21参数_flattop_上升沿4ns_持续时间50ns_下降沿后1us",...
|
||||
"第五组S21参数_flattop_上升沿4ns_持续时间1000ns_下降沿后1us",...
|
||||
"第五组S21参数_flattop_上升沿100ns_持续时间10000ns_下降沿后1us",...
|
||||
"第五组S21参数_acz_持续时间30ns_下降沿后1us",...
|
||||
"第五组S21参数_acz_持续时间50ns_下降沿后1us";
|
||||
];
|
||||
|
||||
Delay_mode = mode(Delay,'all');
|
||||
fileID = fopen('20241226_output.txt', 'w');
|
||||
if fileID == -1
|
||||
disp('文件打开失败');
|
||||
else
|
||||
|
||||
end
|
||||
|
||||
for m = 1:route_num
|
||||
for n = 1:env_num
|
||||
start_time(n) = abs(Delay_mode)/(TargetFrequency/1e9)*1e-9;%由于相位修正后会有偏移的点数，所以需要考虑上这个偏移的时间，采样率为3GHz，3个点对应1ns
|
||||
edge_Align(n) = FallingEdge(n) + start_time(n);
|
||||
tmp(n) = edge_Align(n) + 10e-9;
|
||||
a{n} = [start_time(n)-5e-9 tmp(n)];%[1/fs_H 50e-9];[50e-9 1.5e-6],[500e-9+10e-9 tmp-20e-9]
|
||||
b{n} = [tmp(n) 20e-6];
|
||||
fig1 = figure('Units','normalized','Position',[0.000390625,0.517361111111111,0.49921875,0.422916666666667]);
|
||||
diff_plot_py(TargetFrequency,HardwareMeanIntpDataAlign{m,n}', DownsamplingBy12GDataAlign{m,n}(1:floor(TargetFrequency*20e-6)),'HardwareRevised','ScriptRevised',a{n},Amp,edge_Align(n),fileID);
|
||||
title(name(m,n),Interpreter="none");
|
||||
savefig(name(m,n));
|
||||
fig2 = figure('Units','normalized','Position',[0.000390625,0.034027777777778,0.49921875,0.422916666666667]);
|
||||
diff_plot_py(TargetFrequency,HardwareMeanIntpDataAlign{m,n}', DownsamplingBy12GDataAlign{m,n}(1:floor(TargetFrequency*20e-6)),'HardwareRevised','ScriptRevised',b{n},Amp,edge_Align(n),fileID);
|
||||
title(name(m,n),Interpreter="none");
|
||||
savefig(name(m+5,n));
|
||||
end
|
||||
end
|
||||
fclose(fileID);
|
||||
%% 可视化S21参数
|
||||
t = 0:1/(1e2):10000;
|
||||
for m = 1:route_num
|
||||
for n = 1:1:length(amp_routing{1,m})
|
||||
S21_time{m}(:,n) = amp_routing{1,m}(n)*exp(time_routing{1,m}(n)*t);
|
||||
end
|
||||
figure
|
||||
plot(t*1e-9,real(sum(S21_time{m},2)));
|
||||
grid on
|
||||
title("s(t)");
|
||||
end
|
||||
|
||||
% savefig("S21参数");
|
||||
|
||||
% signalAnalyzer(real(sum(S21_time,2)),'SampleRate',1e11);%时间是1ns，还得加上采样率
|
||||
|
||||
% rmpath(genpath('D:\Work\EnvData'));
|
||||
% rmpath(genpath('D:\Work\EnvData\data-v2'));
|
||||
% rmpath(genpath('D:\Work\TailCorr_20241008_NoGit'));
|
||||
%% 查看图像
|
||||
for m = 1:35
|
||||
figure(2*m-1)
|
||||
figure(2*m)
|
||||
pause(0.2);
|
||||
end
|
||||
%% 读图像并查看
|
||||
% cd("D:\Work\TailCorr\仿真结果\20241101_125M八倍内插至1G_第1组S21参数");
|
||||
close all
|
||||
for n = 1:route_num
|
||||
for m = 1:env_num
|
||||
open(strcat(name(n,m),'.fig'));
|
||||
open(strcat(name(n+5,m),'.fig'));
|
||||
pause();
|
||||
end
|
||||
end
|
||||
%%
|
||||
close all
|
||||
fid = fopen('20241226_output.txt','r');
|
||||
data = textscan(fid,'Falling edge of 20ns~40ns mean :%s std :%s Falling edge of 1us~1.1us mean :%s std :%s The mean and std stably less than 1e-4 is :%s s');
|
||||
fclose(fid);
|
||||
data{1} = cellfun(@str2num,data{1});
|
||||
data{2} = cellfun(@str2num,data{2});
|
||||
data{3} = cellfun(@str2num,data{3});
|
||||
data{4} = cellfun(@str2num,data{4});
|
||||
data{5} = cellfun(@str2num,data{5});
|
||||
title_name = ["下降沿后20ns~40ns误差的平均值","下降沿后20ns~40ns误差的标准差","下降沿后1us~1.1us误差的平均值","下降沿后1us~1.1us误差的标准差","加窗参数"];
|
||||
err_threshold = [1e-3 1e-3 1e-4 3e-4 5e-5];
|
||||
figure()
|
||||
tiledlayout('flow','TileSpacing','tight')
|
||||
colors = lines(route_num);
|
||||
|
||||
for m = 1:5
|
||||
nexttile
|
||||
hold on
|
||||
for i = 1:(route_num)
|
||||
idx = (i-1)*(length(falling20_mean)/route_num) + 1 : i*(length(falling20_mean)/route_num);
|
||||
plot(idx,abs(data{m}(idx)),'-o','Color', colors(i, :));
|
||||
end
|
||||
yline(err_threshold(m),'--r');
|
||||
title(title_name(m));
|
||||
set(gca,'YScale','log');
|
||||
end
|
||||
|
||||
%%
|
||||
figure()
|
||||
semilogy(abs(falling20_mean),'-o');
|
||||
|
|
|
|||
|
|
@ -0,0 +1,66 @@
|
|||
clc;clear;close all
|
||||
% hdlsetuptoolpath('ToolName','Xilinx Vivado','ToolPath','D:\SoftWare\Xilinx\Vivado\2019.2\bin\vivado.bat');
|
||||
|
||||
fs_L = 0.75e9; %硬件频率
|
||||
fs_H = 12e9; %以高频近似理想信号
|
||||
TargetFrequency = 3e9;
|
||||
simulink_time = 20e-6; %1.5*16e-6;1.5e-3
|
||||
intp_mode = 3; %0不内插，1内插2倍，2内插4倍,3内插8倍
|
||||
route_num = 1; %线路个数
|
||||
env_num = 1; %包络个数
|
||||
alpha_wideth=32; %滤波器系数定点化
|
||||
beta_width=32;
|
||||
G = 1;
|
||||
dac_mode_sel = 0; %选择DAC模式，0出八路，1邻近插值，2邻近插值
|
||||
|
||||
z_dsp1 = z_dsp(fs_L,fs_H,TargetFrequency,G,simulink_time,intp_mode,dac_mode_sel);
|
||||
z_dsp1.filename = 'output.txt';
|
||||
z_dsp1.rpt_num = 1;
|
||||
if(z_dsp1.rpt_num > 1)
|
||||
z_dsp1.name = [
|
||||
"第一组S21参数_flattop_上升沿2ns_持续时间30ns_重复100次",...
|
||||
"第一组S21参数_flattop_上升沿4ns_持续时间30ns_重复100次",...
|
||||
"第一组S21参数_flattop_上升沿4ns_持续时间50ns_重复100次",...
|
||||
"第一组S21参数_acz_持续时间30ns_重复100次",...
|
||||
"第一组S21参数_acz_持续时间50ns_重复100次";
|
||||
"第二组S21参数_flattop_上升沿2ns_持续时间30ns_重复100次",...
|
||||
"第二组S21参数_flattop_上升沿4ns_持续时间30ns_重复100次",...
|
||||
"第二组S21参数_flattop_上升沿4ns_持续时间50ns_重复100次",...
|
||||
"第二组S21参数_acz_持续时间30ns_重复100次",...
|
||||
"第二组S21参数_acz_持续时间50ns_重复100次";
|
||||
"第三组S21参数_flattop_上升沿2ns_持续时间30ns_重复100次",...
|
||||
"第三组S21参数_flattop_上升沿4ns_持续时间30ns_重复100次",...
|
||||
"第三组S21参数_flattop_上升沿4ns_持续时间50ns_重复100次",...
|
||||
"第三组S21参数_acz_持续时间30ns_重复100次",...
|
||||
"第三组S21参数_acz_持续时间50ns_重复100次";
|
||||
"第四组S21参数_flattop_上升沿2ns_持续时间30ns_重复100次",...
|
||||
"第四组S21参数_flattop_上升沿4ns_持续时间30ns_重复100次",...
|
||||
"第四组S21参数_flattop_上升沿4ns_持续时间50ns_重复100次",...
|
||||
"第四组S21参数_acz_持续时间30ns_重复100次",...
|
||||
"第四组S21参数_acz_持续时间50ns_重复100次";
|
||||
"第五组S21参数_flattop_上升沿2ns_持续时间30ns_重复100次",...
|
||||
"第五组S21参数_flattop_上升沿4ns_持续时间30ns_重复100次",...
|
||||
"第五组S21参数_flattop_上升沿4ns_持续时间50ns_重复100次",...
|
||||
"第五组S21参数_acz_持续时间30ns_重复100次",...
|
||||
"第五组S21参数_acz_持续时间50ns_重复100次";
|
||||
];
|
||||
z_dsp1.FallingEdge = [30e-9 30e-9 50e-9 30e-9 50e-9];
|
||||
z_dsp1.itv_time = 30e-9;
|
||||
end
|
||||
z_dsp1.env(); %产生理想z信号
|
||||
z_dsp1.route(); %配置线路参数
|
||||
% z_dsp1.route_num = 1;
|
||||
% z_dsp1.env_num = 1;
|
||||
z_dsp1.py_cal(); %12G采样率，基于python脚本计算校正后的波形
|
||||
z_dsp1.FIL(); %调用FIL模块计算校正后的波形
|
||||
z_dsp1.DataShow("save"); %计算结束后展示波形，有save时保存图片
|
||||
%%
|
||||
z_dsp1.FigDisplay(); %图片播放
|
||||
%%
|
||||
z_dsp1.RouteShow("save"); %可视化线路参数
|
||||
%%
|
||||
z_dsp1.ErrAny("save") %对关心的指标进行可视化处理
|
||||
%%
|
||||
close all
|
||||
z_dsp1.pause_time = 0.3;
|
||||
z_dsp1.LoadFigAndDisplay()
|
||||
Loading…
Reference in New Issue