clc;clear;close all % hdlsetuptoolpath('ToolName','Xilinx Vivado','ToolPath','D:\SoftWare\Xilinx\Vivado\2019.2\bin\vivado.bat'); %%配置参数 fs_L = 0.75e9; %硬件频率 fs_H = 12e9; %以高频近似理想信号 TargetFrequency = 3e9; G = 1; DownSample = 2; 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 dac_mode_sel = 0; %选择DAC模式，0出八路，1邻近插值，2邻近插值 route_num = 5; %线路个数 env_num = 7; %包络个数 Ideal2Low = fs_H/(fs_L/2); Ideal2Target = fs_H/TargetFrequency; %% 添加路径、产生包络、配置S21参数、使用脚本计算 %%添加路径 % addpath(genpath('D:\Work\EnvData')); % addpath(genpath('D:\Work\EnvData\data-v2')); % addpath(genpath('D:\Work\TailCorr_20241008_NoGit')); % addpath('D:\Work\TailCorr\script_m'); cd("D:\Work\EnvData\acz"); obj1 = py.importlib.import_module('acz'); py.importlib.reload(obj1); cd("D:\Work\TailCorr_20241008_NoGit"); obj2 = py.importlib.import_module('wave_calculation'); py.importlib.reload(obj2); cd("D:\Work\TailCorr"); %%产生包络 %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 = 1:5 [edge_H(i), length_H(i)] = deal(edge(i)*fs_H/1e9,length_flattop(i)*fs_H/1e9); 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 = 1:2 length_acz_H(i) = int32(length_acz(i)*fs_H/1e9); wave_pre{i+5} = real(double(py.acz.aczwave(amplitude, length_acz_H(i), carrierFreq,carrierPhase, dragAlpha,thf, thi, lam2, lam3))); end for i = 1:7 wave_pre{i} = cat(2,wave_pre{i},zeros(1,floor(simulink_time*fs_H))); %校正前的高频信号 wave_preL{i} = wave_pre{i}(1:Ideal2Low:end); %校正前的低频信号 end %%S21参数 amp_real{1}= [0.025 0.015 0.0002 0.2 0 0]; amp_imag{1}= [0 0 0 0 0 0]; time_real{1} = [-1/250, -1/650, -1/1600 -1/20 0 0]; time_imag{1} = [0 0 0 0 0 0]; amp_real{2}= [0.025 0.015 0.0002 0.2 0 0]; amp_imag{2}= [0 0 0 0 0 0]; time_real{2} = [-1/250, -1/650, -1/1600 -1/20 0 0]; time_imag{2} = [0 -1/300 -1/500 0 0 0]; amp_real{3}= [0.025 0.009 0.0002 0.2 0 0]; amp_imag{3}= [0 0.012 0 0 0 0]; time_real{3} = [-1/250, -1/650, -1/1600 -1/20 0 0]; time_imag{3} = [0 -1/300 -1/500 0 0 0]; amp_real{4}= [0.025 0.015 0.0002 0.2 0 0]; amp_imag{4}= [0 0 0 0 0 0]; time_real{4} = [-1/250, -1/2000, -1/1600 -1/20 0 0]; time_imag{4} = [0 -1/15 -1/50 0 0 0]; amp_real{5}= [0.025 0.009 0.0002 0.2 0 0]; amp_imag{5}= [0 0.012 0 0 0 0]; time_real{5} = [-1/250, -1/2000, -1/1600 -1/20 0 0]; time_imag{5} = [0 -1/15 -1/50 0 0 0]; for i = 1:5 amp_routing{i} = amp_real{1,i} + 1j*amp_imag{1,i}; time_routing{i} = time_real{1,i} + 1j*time_imag{1,i}; tau{i} = -1./time_routing{i}; end %%python脚本校正结果 convolve_bound = int8(3); calibration_time = int32(20e3); cal_method = int8(1); sampling_rateL = int64(fs_L/2); sampling_rate = int64(fs_H); %校正后的高频信号 for m = 1:route_num for n = 1:env_num 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)); wave_revised{m,n} = double(wave_cal{1,1}); 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)); 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 % signalAnalyzer(wave_pre{1,1},'SampleRate',fs_H); %校正后的低频信号 alpha_wideth=32; beta_width=32; %定点化系数 for i = 1: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 %% 仿真 for m = 1:route_num for n = 1:env_num optnons=simset('SrcWorkspace','current'); sim('z_dsp_FIL',[0,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} = 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"); 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');