344 lines
15 KiB
Matlab
344 lines
15 KiB
Matlab
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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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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HardwareMeanIntpData{m,n} = cs_wave{m,n};%硬件校正后内插
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DownsamplingBy12GData{m,n} = wave_revised{m,n}(1:Ideal2Target:end);
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[DownsamplingBy12GDataAlign{m,n},HardwareMeanIntpDataAlign{m,n},Delay(m,n)] = ...
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alignsignals(DownsamplingBy12GData{m,n}(1:round(TargetFrequency*20e-6)),HardwareMeanIntpData{m,n}(1:round(TargetFrequency*20e-6)),"Method","xcorr");
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end
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end
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% signalAnalyzer(wave_revised,'SampleRate',3e9);
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%% 绘图并保存
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close all;
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Amp = 1.5e4;
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FallingEdge = [
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% 150e-9,4050e-9,...%矩形波
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30e-9,30e-9,50e-9,1000e-9,10000e-9,...%flattop
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30e-9,50e-9%acz
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];
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name = [
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"第一组S21参数_flattop_上升沿2ns_持续时间30ns_下降沿后10ns",...
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"第一组S21参数_flattop_上升沿4ns_持续时间30ns_下降沿后10ns",...
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"第一组S21参数_flattop_上升沿4ns_持续时间50ns_下降沿后10ns",...
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"第一组S21参数_flattop_上升沿4ns_持续时间1000ns_下降沿后10ns",...
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"第一组S21参数_flattop_上升沿100ns_持续时间10000ns_下降沿后10ns",...
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"第一组S21参数_acz_持续时间30ns_下降沿后10ns",...
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"第一组S21参数_acz_持续时间50ns_下降沿后10ns";
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"第二组S21参数_flattop_上升沿2ns_持续时间30ns_下降沿后10ns",...
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"第二组S21参数_flattop_上升沿4ns_持续时间30ns_下降沿后10ns",...
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"第二组S21参数_flattop_上升沿4ns_持续时间50ns_下降沿后10ns",...
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"第二组S21参数_flattop_上升沿4ns_持续时间1000ns_下降沿后10ns",...
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"第二组S21参数_flattop_上升沿100ns_持续时间10000ns_下降沿后10ns",...
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"第二组S21参数_acz_持续时间30ns_下降沿后10ns",...
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"第二组S21参数_acz_持续时间50ns_下降沿后10ns";
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"第三组S21参数_flattop_上升沿2ns_持续时间30ns_下降沿后10ns",...
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"第三组S21参数_flattop_上升沿4ns_持续时间30ns_下降沿后10ns",...
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"第三组S21参数_flattop_上升沿4ns_持续时间50ns_下降沿后10ns",...
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"第三组S21参数_flattop_上升沿4ns_持续时间1000ns_下降沿后10ns",...
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"第三组S21参数_flattop_上升沿100ns_持续时间10000ns_下降沿后10ns",...
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"第三组S21参数_acz_持续时间30ns_下降沿后10ns",...
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"第三组S21参数_acz_持续时间50ns_下降沿后10ns";
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"第四组S21参数_flattop_上升沿2ns_持续时间30ns_下降沿后10ns",...
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"第四组S21参数_flattop_上升沿4ns_持续时间30ns_下降沿后10ns",...
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"第四组S21参数_flattop_上升沿4ns_持续时间50ns_下降沿后10ns",...
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"第四组S21参数_flattop_上升沿4ns_持续时间1000ns_下降沿后10ns",...
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"第四组S21参数_flattop_上升沿100ns_持续时间10000ns_下降沿后10ns",...
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"第四组S21参数_acz_持续时间30ns_下降沿后10ns",...
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"第四组S21参数_acz_持续时间50ns_下降沿后10ns";
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"第五组S21参数_flattop_上升沿2ns_持续时间30ns_下降沿后10ns",...
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"第五组S21参数_flattop_上升沿4ns_持续时间30ns_下降沿后10ns",...
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"第五组S21参数_flattop_上升沿4ns_持续时间50ns_下降沿后10ns",...
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"第五组S21参数_flattop_上升沿4ns_持续时间1000ns_下降沿后10ns",...
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"第五组S21参数_flattop_上升沿100ns_持续时间10000ns_下降沿后10ns",...
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"第五组S21参数_acz_持续时间30ns_下降沿后10ns",...
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"第五组S21参数_acz_持续时间50ns_下降沿后10ns";
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"第一组S21参数_flattop_上升沿2ns_持续时间30ns_下降沿后1us",...
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"第一组S21参数_flattop_上升沿4ns_持续时间30ns_下降沿后1us",...
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"第一组S21参数_flattop_上升沿4ns_持续时间50ns_下降沿后1us",...
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"第一组S21参数_flattop_上升沿4ns_持续时间1000ns_下降沿后1us",...
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"第一组S21参数_flattop_上升沿100ns_持续时间10000ns_下降沿后1us",...
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"第一组S21参数_acz_持续时间30ns_下降沿后1us",...
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"第一组S21参数_acz_持续时间50ns_下降沿后1us";
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"第二组S21参数_flattop_上升沿2ns_持续时间30ns_下降沿后1us",...
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"第二组S21参数_flattop_上升沿4ns_持续时间30ns_下降沿后1us",...
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||
"第二组S21参数_flattop_上升沿4ns_持续时间50ns_下降沿后1us",...
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||
"第二组S21参数_flattop_上升沿4ns_持续时间1000ns_下降沿后1us",...
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"第二组S21参数_flattop_上升沿100ns_持续时间10000ns_下降沿后1us",...
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"第二组S21参数_acz_持续时间30ns_下降沿后1us",...
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"第二组S21参数_acz_持续时间50ns_下降沿后1us";
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"第三组S21参数_flattop_上升沿2ns_持续时间30ns_下降沿后1us",...
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"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",...
|
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"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",...
|
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"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",...
|
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"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",...
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"第五组S21参数_acz_持续时间50ns_下降沿后1us";
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];
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Delay_mode = mode(Delay,'all');
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fileID = fopen('20241226_output.txt', 'w');
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if fileID == -1
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disp('文件打开失败');
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else
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end
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for m = 1:route_num
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for n = 1:env_num
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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
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edge_Align(n) = FallingEdge(n) + start_time(n);
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tmp(n) = edge_Align(n) + 10e-9;
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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]
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b{n} = [tmp(n) 20e-6];
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fig1 = figure('Units','normalized','Position',[0.000390625,0.517361111111111,0.49921875,0.422916666666667]);
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diff_plot_py(TargetFrequency,HardwareMeanIntpDataAlign{m,n}', DownsamplingBy12GDataAlign{m,n}(1:floor(TargetFrequency*20e-6)),'HardwareRevised','ScriptRevised',a{n},Amp,edge_Align(n),fileID);
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title(name(m,n),Interpreter="none");
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savefig(name(m,n));
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fig2 = figure('Units','normalized','Position',[0.000390625,0.034027777777778,0.49921875,0.422916666666667]);
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diff_plot_py(TargetFrequency,HardwareMeanIntpDataAlign{m,n}', DownsamplingBy12GDataAlign{m,n}(1:floor(TargetFrequency*20e-6)),'HardwareRevised','ScriptRevised',b{n},Amp,edge_Align(n),fileID);
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title(name(m,n),Interpreter="none");
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savefig(name(m+5,n));
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end
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end
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fclose(fileID);
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%% 可视化S21参数
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t = 0:1/(1e2):10000;
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for m = 1:route_num
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for n = 1:1:length(amp_routing{1,m})
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S21_time{m}(:,n) = amp_routing{1,m}(n)*exp(time_routing{1,m}(n)*t);
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end
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figure
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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');
|