Archived
finish pa phase calibration, add sample data
测试了三台对飞节点的相对幅相,测试了一台814节点的相对幅相
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%% File Header/文件说明
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%
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% Beamforming with phased array derives signal characteristics from phase
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% differences between sensors. Therefore the amplitude-phase consistence is
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% vital to phased systems.
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%
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% The script analyzes the amp-phase relations of ILA captured data, the format
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% of which is square-shaped pseudorandorm bit sequence. Each channel is
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% processed seperately with different frequency shifts and different optimum
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% sampling points. The estimation of amplitude and phase are based on
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% acculumated correlation peaks.
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%
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clc; clear;
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%% initial parameters/初始参数
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interp = 8; % interpolation factor
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channelNum = 4;
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symNum = 8;
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fs = 48e6;
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freqRange = 25000:1000:30000;
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% dataFile = [ ...
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% "iladata_rx_data_26G_20230511_1615_SWGnd_A-1.csv", ...
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% "iladata_rx_data_26G_20230511_1619_SWGnd_Ant01_A-1.csv", ...
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% "iladata_rx_data_26G_20230511_1620_SWGnd_Ant02_A-1.csv", ...
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% "iladata_rx_data_26G_20230511_1624_SWGnd_Ant03_A-1.csv", ...
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% "iladata_rx_data_26G_20230511_1626_SWGnd_B-1.csv", ...
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% "iladata_rx_data_26G_20230511_1628_SWGnd_Ant01_B-1.csv", ...
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% "iladata_rx_data_26G_20230511_1630_SWGnd_Ant02_B-1.csv", ...
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% "iladata_rx_data_26G_20230511_1631_SWGnd_Ant03_B-1.csv", ...
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% ];
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dataFile = [ ...
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"iladata_814_rx_26G_20230512_1650_A-1.csv", ...
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"iladata_814_rx_26G_20230512_1650_A-2.csv", ...
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"iladata_814_rx_26G_20230512_1650_A-3.csv", ...
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"iladata_814_rx_26G_20230512_1700_A-1.csv", ...
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"iladata_814_rx_26G_20230512_1700_A-2.csv", ...
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"iladata_814_rx_26G_20230512_1700_A-3.csv", ...
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"iladata_814_rx_26G_20230512_1730_B-1.csv", ...
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"iladata_814_rx_26G_20230512_1730_B-2.csv", ...
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"iladata_814_rx_26G_20230512_1730_B-3.csv", ...
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];
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dataFileNum = length(dataFile);
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% standard pn sequence
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pnSequence = comm.PNSequence('Polynomial','x^7+x^6+1', ...
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'InitialConditions',[zeros(1,6),1],'SamplesPerFrame',2^7-1);
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PRBS7 = pnSequence();
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PRBS7_polar = 1-2*[PRBS7;0];
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pnSequence = comm.PNSequence('Polynomial','x^10+x^7+1', ...
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'InitialConditions',[zeros(1,9),1],'SamplesPerFrame',2^10-1);
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PRBS10 = pnSequence();
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PRBS10_polar = 1-2*[PRBS10;0];
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%% data analysis
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% search for frequency shift
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freqDmfPeak = zeros(dataFileNum,length(freqRange));
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freqTarget = zeros(dataFileNum,channelNum);
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% phase amplitude analysis
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desiredPnt = zeros(dataFileNum,symNum-1,channelNum);
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desiredPntIndex = zeros(dataFileNum,symNum-1,channelNum);
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ampEstSymRaw = zeros(dataFileNum,symNum-1,channelNum);
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ampEstSymMin = zeros(dataFileNum,channelNum);
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ampEstSymMax = zeros(dataFileNum,channelNum);
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ampEstSymAvg = zeros(dataFileNum,channelNum);
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angEstSymRaw = zeros(dataFileNum,symNum-1,channelNum);
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angEstSymMin = zeros(dataFileNum,channelNum);
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angEstSymMax = zeros(dataFileNum,channelNum);
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angEstSymAvg = zeros(dataFileNum,channelNum);
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ampEstSymRawList = strings(dataFileNum*(symNum-1)+1,channelNum+1);
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ampEstSymRawList(1,:) = ["Amp Raw Value", "ch1", "ch2", "ch3", "ch4"];
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angEstSymRawList = strings(dataFileNum*(symNum-1)+1,channelNum+1);
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angEstSymRawList(1,:) = ["Angle Raw Value", "ch1", "ch2", "ch3", "ch4"];
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desiredPntIndexList = strings(dataFileNum*(symNum-1)+1,channelNum+1);
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desiredPntIndexList(1,:) = ["Chip Index", "ch1", "ch2", "ch3", "ch4"];
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for data_num = 1:dataFileNum
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% read data
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rawData = readmatrix(dataFile(data_num));
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disp(dataFile(data_num));
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seqRx = [];
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seqRx(:,1) = (rawData(:, 4) + 1i*rawData(:, 5)).';
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seqRx(:,2) = (rawData(:, 6) + 1i*rawData(:, 7)).';
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seqRx(:,3) = (rawData(:, 8) + 1i*rawData(:, 9)).';
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seqRx(:,4) = (rawData(:,10) + 1i*rawData(:,11)).';
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if (dataFile(data_num).contains(["0509","0510","0511"]))
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PRBS = PRBS7_polar;
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else
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PRBS = PRBS10_polar;
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end
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dataLen = length(seqRx(:,1));
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chipLen = length(PRBS); % pn chip length
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PRBS_up_flip = kron(flip(PRBS),ones(interp,1));
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% search for frequency shift
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for ch_num = 1:channelNum
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for freq_num = 1:length(freqRange)
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% multiply two symbols with carrier
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data_cxr = seqRx(1:2*chipLen*interp,ch_num).*exp(1i*2*pi* ...
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freqRange(freq_num)/fs*(0:2*chipLen*interp-1)');
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% convolve multiplied data with pn sequence, without zero-padded results
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data_dmf = conv(data_cxr, PRBS_up_flip,'valid');
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% peak search
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freqDmfPeak(data_num,freq_num) = max(abs(data_dmf(1:end-1)));
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end
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freqTarget(data_num,ch_num) = freqRange(freqDmfPeak(data_num,:) == ...
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max(freqDmfPeak(data_num,:)));
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end
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% phase amplitude analysis
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for ch_num = 1:channelNum
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seqRxCxr = seqRx(:,ch_num).*exp(1i*2*pi*freqTarget(1)/fs*(0:dataLen-1)');
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seqRxCxrCorr = conv(seqRxCxr,PRBS_up_flip,'valid');
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seqRxCxrCorrSplit = reshape(seqRxCxrCorr(1:end-1),chipLen*interp, ...
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symNum-1);
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desiredPntIndex(data_num,:,ch_num) = find(abs(seqRxCxrCorrSplit) == ...
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max(abs(seqRxCxrCorrSplit))) - 1024*(0:symNum-2)';
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desiredPnt(data_num,:,ch_num) = seqRxCxrCorrSplit(abs(seqRxCxrCorrSplit) == ...
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max(abs(seqRxCxrCorrSplit)));
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ampEstSymRaw(data_num,:,ch_num) = abs(desiredPnt(data_num,:,ch_num))./abs(desiredPnt(data_num,:,1));
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angEstSymRaw(data_num,:,ch_num) = mod((angle(desiredPnt(data_num,:,ch_num))-angle(desiredPnt(data_num,:,1)))/pi*180,360);
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ampEstSymMin(data_num,ch_num) = min(ampEstSymRaw(data_num,:,ch_num));
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ampEstSymMax(data_num,ch_num) = max(ampEstSymRaw(data_num,:,ch_num));
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ampEstSymAvg(data_num,ch_num) = mean(ampEstSymRaw(data_num,:,ch_num));
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angEstSymMin(data_num,ch_num) = min(angEstSymRaw(data_num,:,ch_num));
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angEstSymMax(data_num,ch_num) = max(angEstSymRaw(data_num,:,ch_num));
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angEstSymAvg(data_num,ch_num) = mean(angEstSymRaw(data_num,:,ch_num));
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end
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desiredPntIndexList((data_num-1)*(symNum-1)+1+(1:symNum-1),1) = dataFile(data_num);
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desiredPntIndexList((data_num-1)*(symNum-1)+1+(1:symNum-1),2:end) = string(desiredPntIndex(data_num,:,:));
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ampEstSymRawList((data_num-1)*(symNum-1)+1+(1:symNum-1),1) = dataFile(data_num);
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ampEstSymRawList((data_num-1)*(symNum-1)+1+(1:symNum-1),2:end) = string(ampEstSymRaw(data_num,:,:));
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angEstSymRawList((data_num-1)*(symNum-1)+1+(1:symNum-1),1) = dataFile(data_num);
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angEstSymRawList((data_num-1)*(symNum-1)+1+(1:symNum-1),2:end) = string(angEstSymRaw(data_num,:,:));
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end
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%% data analysis
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freqTargetRelative = freqTarget - freqTarget(:,1);
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freqTargetMax = max(freqTarget,[],'all');
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freqTargetMIn = min(freqTarget,[],'all');
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maxDesiredPointIndexDiff = max(abs(desiredPntIndex-(desiredPntIndex(:,:,1))),[],"all");
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ampEstSymMaxList = strings(dataFileNum+1,channelNum+1);
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ampEstSymMinList = strings(dataFileNum+1,channelNum+1);
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ampEstSymAvgList = strings(dataFileNum+1,channelNum+1);
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ampEstSymMaxList(1,:) = ["Amp Max Value", "ch1", "ch2", "ch3", "ch4"];
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ampEstSymMinList(1,:) = ["Amp Min Value", "ch1", "ch2", "ch3", "ch4"];
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ampEstSymAvgList(1,:) = ["Amp Avg Value", "ch1", "ch2", "ch3", "ch4"];
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ampEstSymMaxList(2:end,1) = dataFile;
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ampEstSymMinList(2:end,1) = dataFile;
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ampEstSymAvgList(2:end,1) = dataFile;
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ampEstSymMaxList(2:end,2:end) = string(ampEstSymMin);
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ampEstSymMinList(2:end,2:end) = string(ampEstSymMax);
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ampEstSymAvgList(2:end,2:end) = string(ampEstSymAvg);
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angEstSymMaxList = strings(dataFileNum+1,channelNum+1);
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angEstSymMinList = strings(dataFileNum+1,channelNum+1);
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angEstSymAvgList = strings(dataFileNum+1,channelNum+1);
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angEstSymMaxList(1,:) = ["Angle Max Value", "ch1", "ch2", "ch3", "ch4"];
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angEstSymMinList(1,:) = ["Angle Min Value", "ch1", "ch2", "ch3", "ch4"];
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angEstSymAvgList(1,:) = ["Angle Avg Value", "ch1", "ch2", "ch3", "ch4"];
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angEstSymMaxList(2:end,1) = dataFile;
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angEstSymMinList(2:end,1) = dataFile;
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angEstSymAvgList(2:end,1) = dataFile;
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angEstSymMaxList(2:end,2:end) = string(angEstSymMin);
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angEstSymMinList(2:end,2:end) = string(angEstSymMax);
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angEstSymAvgList(2:end,2:end) = string(angEstSymAvg);
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%% figures
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figure(1);
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subplot(121);
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plot(ampEstSymAvg);
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legend(["ch1","ch2","ch3","ch4"]);
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title("Amplitude Estimation");
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ylim([min(ampEstSymAvg,[],'all')-0.2,max(ampEstSymAvg,[],'all')+0.2]);
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grid on; grid minor;
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subplot(122);
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plot(angEstSymAvg);
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legend(["ch1","ch2","ch3","ch4"]);
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title("Angle Estimation");
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ylim([-10,370]);
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grid on; grid minor;
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% xticks([1 5 10 20])
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% xticklabels(dataFile)
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@@ -0,0 +1,31 @@
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% clear;
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dataFile = [ ...
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"iladata_814_sweep_20230512_1722_A.csv", ...
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"iladata_814_sweep_20230512_1725_B.csv", ...
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"iladata_814_sweep_20230512_1727_B.csv", ...
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"iladata_814_sweep_20230512_1734_B.csv", ...
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];
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dataFileNum = length(dataFile);
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for data_num = 1:dataFileNum
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data = readmatrix(dataFile(data_num));
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valid_index = find(data(:,4)==1);
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peak = [ ...
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data(valid_index,5) + 1i*data(valid_index,6), ...
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data(valid_index,7) + 1i*data(valid_index,8), ...
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data(valid_index,9) + 1i*data(valid_index,10), ...
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data(valid_index,11) + 1i*data(valid_index,12)];
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peak_amp = [abs(peak)./abs(peak(:,1)),abs(peak(:,1)), ...
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round(data(valid_index,end-1)/2^32*192e6),data(valid_index,end)];
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angleNormal = (angle(peak) - angle(peak(:,1)))/pi*180;
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angleNormal(abs(angleNormal) > 5) = mod(angleNormal(abs(angleNormal) > 5),360);
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peak_ang = [angleNormal, ...
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abs(peak(:,1)),round(data(valid_index,end-1)/2^32*192e6),data(valid_index,end)];
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scatter(peak_ang(:,7),peak_ang(:,2:4),'filled');hold on;
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end
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@@ -13,42 +13,26 @@
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clc; clear;
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%% initial parameters/初始参数
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interp = 8; % interpolation factor
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process_interp = 8;
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channelNum = 4;
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dataLen = 8192;
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symNum = 8;
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fs = 48e6;
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freqRange = 10000:1000:28000;
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dataFile = [ ...
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% "iladata_rx_data_26G_20230509_1445.csv", ...
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% "iladata_rx_data_26G_20230509_1715.csv", ...
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"iladata_rx_data_26G_20230510_1030.csv", ...
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"iladata_rx_data_26G_20230510_1100.csv", ...
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"iladata_rx_data_26G_20230510_1115.csv", ...
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"iladata_rx_data_26G_20230510_1415_A-1.csv", ...
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"iladata_rx_data_26G_20230510_1415_A-2.csv", ...
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"iladata_rx_data_26G_20230510_1415_A-3.csv", ...
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"iladata_rx_data_26G_20230510_1455_B-1.csv", ...
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"iladata_rx_data_26G_20230510_1455_B-2.csv", ...
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"iladata_rx_data_26G_20230510_1455_B-3.csv", ...
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"iladata_rx_data_26G_20230510_1500_A-1.csv", ...
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"iladata_rx_data_26G_20230510_1500_A-2.csv", ...
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"iladata_rx_data_26G_20230510_1500_A-3.csv", ...
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"iladata_rx_data_26G_20230510_1530_B-1.csv", ...
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"iladata_rx_data_26G_20230510_1530_B-2.csv", ...
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"iladata_rx_data_26G_20230510_1530_B-3.csv", ...
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"iladata_rx_data_26G_20230510_1600_B-1.csv", ...
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"iladata_rx_data_26G_20230510_1600_B-2.csv", ...
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"iladata_rx_data_26G_20230510_1630_B-1.csv", ...
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"iladata_rx_data_26G_20230510_1630_B-2.csv", ...
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"iladata_rx_data_26G_20230510_1630_B-3.csv", ...
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"iladata_rx_data_26G_20230510_1725_B-1.csv", ...
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"iladata_rx_data_26G_20230510_1725_B-2.csv", ...
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"iladata_rx_data_26G_20230510_1725_B-3.csv", ...
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"iladata_rx_data_26G_20230510_1730_A-1.csv", ...
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"iladata_rx_data_26G_20230510_1730_A-2.csv", ...
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"iladata_rx_data_26G_20230510_1730_A-3.csv", ...
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"iladata_rx_data_26G_20230510_1740_B-1.csv", ...
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"iladata_rx_data_26G_20230510_1740_B-2.csv", ...
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"iladata_rx_data_26G_20230510_1740_B-3.csv", ...
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];
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"./基带2201005，天线2202004/iladata_rx_data_26G_20230515_1400_A-1.csv", ...
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"./基带2201005，天线2202004/iladata_rx_data_26G_20230515_1400_A-2.csv", ...
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"./基带2201005，天线2202004/iladata_rx_data_26G_20230515_1400_A-3.csv", ...
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"./基带2201005，天线2202004/iladata_rx_data_26G_20230515_1430_B-1.csv", ...
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"./基带2201005，天线2202004/iladata_rx_data_26G_20230515_1430_B-2.csv", ...
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"./基带2201005，天线2202004/iladata_rx_data_26G_20230515_1430_B-3.csv", ...
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"./基带2201005，天线2202004/iladata_rx_data_26G_20230515_1510_A-1.csv", ...
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"./基带2201005，天线2202004/iladata_rx_data_26G_20230515_1510_A-2.csv", ...
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"./基带2201005，天线2202004/iladata_rx_data_26G_20230515_1510_A-3.csv", ...
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"./基带2201005，天线2202004/iladata_rx_data_26G_20230515_1535_B-1.csv", ...
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"./基带2201005，天线2202004/iladata_rx_data_26G_20230515_1535_B-2.csv", ...
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"./基带2201005，天线2202004/iladata_rx_data_26G_20230515_1535_B-3.csv", ...
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];
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dataFileNum = length(dataFile);
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@@ -58,13 +42,14 @@ pnSequence = comm.PNSequence('Polynomial','x^7+x^6+1', ...
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PRBS7 = pnSequence();
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PRBS7_polar = 1-2*[PRBS7;0];
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chipLen = length(PRBS7_polar); % pn chip length
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symNum = dataLen/chipLen/interp; % total symbol number
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pnSequence = comm.PNSequence('Polynomial','x^10+x^7+1', ...
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'InitialConditions',[zeros(1,9),1],'SamplesPerFrame',2^10-1);
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PRBS10 = pnSequence();
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PRBS10_polar = 1-2*[PRBS10;0];
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%% data analysis
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% search for frequency shift
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freqRange = 22000:10:28000;
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freqDmfPeak = zeros(dataFileNum,length(freqRange));
|
||||
freqTarget = zeros(dataFileNum,channelNum);
|
||||
|
||||
@@ -92,14 +77,26 @@ desiredPntIndexList = strings(dataFileNum*(symNum-1)+1,channelNum+1);
|
||||
desiredPntIndexList(1,:) = ["Chip Index", "ch1", "ch2", "ch3", "ch4"];
|
||||
|
||||
for data_num = 1:dataFileNum
|
||||
|
||||
% read data
|
||||
rawData = readmatrix(dataFile(data_num));
|
||||
disp(dataFile(data_num));
|
||||
seqRx = [];
|
||||
seqRx(:,1) = (rawData(:, 4) + 1i*rawData(:, 5)).';
|
||||
seqRx(:,2) = (rawData(:, 6) + 1i*rawData(:, 7)).';
|
||||
seqRx(:,3) = (rawData(:, 8) + 1i*rawData(:, 9)).';
|
||||
seqRx(:,4) = (rawData(:,10) + 1i*rawData(:,11)).';
|
||||
|
||||
if (dataFile(data_num).contains(["0509","0510","0511"]))
|
||||
PRBS = PRBS7_polar;
|
||||
else
|
||||
PRBS = PRBS10_polar;
|
||||
end
|
||||
|
||||
dataLen = length(seqRx(:,1));
|
||||
chipLen = length(PRBS); % pn chip length
|
||||
PRBS_up_flip = kron(flip(PRBS),ones(process_interp,1));
|
||||
|
||||
% search for frequency shift
|
||||
for ch_num = 1:channelNum
|
||||
for freq_num = 1:length(freqRange)
|
||||
@@ -107,7 +104,7 @@ for data_num = 1:dataFileNum
|
||||
data_cxr = seqRx(1:2*chipLen*interp,ch_num).*exp(1i*2*pi* ...
|
||||
freqRange(freq_num)/fs*(0:2*chipLen*interp-1)');
|
||||
% convolve multiplied data with pn sequence, without zero-padded results
|
||||
data_dmf = conv(data_cxr, kron(flip(PRBS7_polar),ones(interp,1)),'valid');
|
||||
data_dmf = conv(downsample(data_cxr,interp/process_interp), PRBS_up_flip,'valid');
|
||||
% peak search
|
||||
freqDmfPeak(data_num,freq_num) = max(abs(data_dmf(1:end-1)));
|
||||
end
|
||||
@@ -117,9 +114,9 @@ for data_num = 1:dataFileNum
|
||||
|
||||
% phase amplitude analysis
|
||||
for ch_num = 1:channelNum
|
||||
seqRxCxr = seqRx(:,ch_num).*exp(1i*2*pi*freqTarget(1)/fs*(0:dataLen-1)');
|
||||
seqRxCxrCorr = conv(seqRxCxr,kron(flip(PRBS7_polar),ones(interp,1)),'valid');
|
||||
seqRxCxrCorrSplit = reshape(seqRxCxrCorr(1:end-1),chipLen*interp, ...
|
||||
seqRxCxr = seqRx(:,ch_num).*exp(1i*2*pi*freqTarget(1,ch_num)/fs*(0:dataLen-1)');
|
||||
seqRxCxrCorr = conv(downsample(seqRxCxr,interp/process_interp),PRBS_up_flip,'valid');
|
||||
seqRxCxrCorrSplit = reshape(seqRxCxrCorr(1:end-1),chipLen*process_interp, ...
|
||||
symNum-1);
|
||||
|
||||
desiredPntIndex(data_num,:,ch_num) = find(abs(seqRxCxrCorrSplit) == ...
|
||||
@@ -149,7 +146,12 @@ for data_num = 1:dataFileNum
|
||||
angEstSymRawList((data_num-1)*(symNum-1)+1+(1:symNum-1),2:end) = string(angEstSymRaw(data_num,:,:));
|
||||
end
|
||||
|
||||
%% data analysis
|
||||
|
||||
freqTargetRelative = freqTarget - freqTarget(:,1);
|
||||
freqTargetMax = max(freqTarget,[],'all');
|
||||
freqTargetMIn = min(freqTarget,[],'all');
|
||||
|
||||
maxDesiredPointIndexDiff = max(abs(desiredPntIndex-(desiredPntIndex(:,:,1))),[],"all");
|
||||
|
||||
ampEstSymMaxList = strings(dataFileNum+1,channelNum+1);
|
||||
@@ -183,14 +185,16 @@ figure(1);
|
||||
|
||||
subplot(121);
|
||||
plot(ampEstSymAvg);
|
||||
legend({"ch1","ch2","ch3","ch4"});
|
||||
legend(["ch1","ch2","ch3","ch4"]);
|
||||
title("Amplitude Estimation");
|
||||
ylim([min(ampEstSymAvg,[],'all')-0.2,max(ampEstSymAvg,[],'all')+0.2]);
|
||||
grid on; grid minor;
|
||||
|
||||
subplot(122);
|
||||
plot(angEstSymAvg);
|
||||
legend({"ch1","ch2","ch3","ch4"});
|
||||
legend(["ch1","ch2","ch3","ch4"]);
|
||||
title("Angle Estimation");
|
||||
ylim([-10,370]);
|
||||
grid on; grid minor;
|
||||
% xticks([1 5 10 20])
|
||||
% xticklabels(dataFile)
|
||||
|
||||
@@ -0,0 +1,43 @@
|
||||
% clear;
|
||||
|
||||
dataFile = [ ...
|
||||
"./基带2201005，天线2202004/iladata_duifei_sweep_20230515_1434_A.csv", ...
|
||||
"./基带2201005，天线2202004/iladata_duifei_sweep_20230515_1436_B.csv", ...
|
||||
"./基带2201005，天线2202004/iladata_duifei_sweep_20230515_1437_B.csv", ...
|
||||
"./基带2201005，天线2202004/iladata_duifei_sweep_20230515_1439_B.csv", ...
|
||||
"./基带2201005，天线2202004/iladata_duifei_sweep_20230515_1441_B.csv", ...
|
||||
"./基带2201005，天线2202004/iladata_duifei_sweep_20230515_1502_B.csv", ...
|
||||
"./基带2201005，天线2202004/iladata_duifei_sweep_20230515_1503_B.csv", ...
|
||||
"./基带2201005，天线2202004/iladata_duifei_sweep_20230515_1506_B.csv", ...
|
||||
];
|
||||
|
||||
dataFileNum = length(dataFile);
|
||||
|
||||
for data_num = 1:dataFileNum
|
||||
|
||||
data = readmatrix(dataFile(data_num));
|
||||
valid_index = find(data(:,4)==1);
|
||||
|
||||
peak_index = data(valid_index,13:16);
|
||||
peak = [ ...
|
||||
data(valid_index,5) + 1i*data(valid_index,6), ...
|
||||
data(valid_index,7) + 1i*data(valid_index,8), ...
|
||||
data(valid_index,9) + 1i*data(valid_index,10), ...
|
||||
data(valid_index,11) + 1i*data(valid_index,12)];
|
||||
|
||||
peak_amp = [abs(peak)./abs(peak(:,1)),abs(peak(:,1)), ...
|
||||
round(data(valid_index,end-1)/2^32*192e6),data(valid_index,end)];
|
||||
angleNormal = (angle(peak) - angle(peak(:,1)))/pi*180;
|
||||
angleNormal(abs(angleNormal) > -1) = mod(angleNormal(abs(angleNormal) > -1),360);
|
||||
peak_ang = [angleNormal, ...
|
||||
abs(peak(:,1)),round(data(valid_index,end-1)/2^32*192e6),data(valid_index,end)];
|
||||
|
||||
subplot(1,3,1);grid on; grid minor;
|
||||
scatter(peak_ang(:,7),peak_ang(:,2),'filled');hold on;
|
||||
|
||||
subplot(1,3,2);grid on; grid minor;
|
||||
scatter(peak_ang(:,7),peak_ang(:,3),'filled');hold on;
|
||||
|
||||
subplot(1,3,3);grid on; grid minor;
|
||||
scatter(peak_ang(:,7),peak_ang(:,4),'filled');hold on;
|
||||
end
|
||||
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|
+123
@@ -0,0 +1,123 @@
|
||||
%% 幅相测试结果离线导出
|
||||
clc; clear;
|
||||
%% 初始参数
|
||||
captureNum = 2; % 同一频点捕获数
|
||||
channelNum = 4;
|
||||
% freqnum = 90; % 频点
|
||||
% dataLen = captureNum*freqnum;
|
||||
dataFile = "0508/iladata_freq_comp_3.csv";
|
||||
sys_clk = 48e6; % 系统时钟
|
||||
phase_width = 32; % 频率控制字总长度
|
||||
|
||||
|
||||
%% data analysis
|
||||
rx_string = readmatrix(dataFile,'OutputType','string'); % 含有字符串的矩阵，便于根据STATE确定数据位置
|
||||
rxdata = readmatrix(dataFile);
|
||||
ch1_dmf = [];
|
||||
ch2_dmf = [];
|
||||
ch3_dmf = [];
|
||||
ch4_dmf = [];
|
||||
ch1_begin = [];
|
||||
ch2_begin = [];
|
||||
ch3_begin = [];
|
||||
ch4_begin = [];
|
||||
pinc = [];
|
||||
|
||||
% 找出ch1~ch4进行captureNum次DMF输出的相关峰序列、每次DMF开始时对应的采样序号
|
||||
% 和每次DMF补偿频偏的频率控制字
|
||||
for k = 1 : length(rx_string(:,1))
|
||||
if (rx_string(k,13) == 'STATE_CH1')
|
||||
ch1_dmf = [ch1_dmf rxdata(k,12)];
|
||||
if(rx_string(k-1,13) == 'STATE_CH_SW')
|
||||
ch1_begin = [ch1_begin;k];
|
||||
pinc = [pinc;rxdata(k+1,17)];
|
||||
end
|
||||
elseif (rx_string(k,13) == 'STATE_CH2')
|
||||
ch2_dmf = [ch2_dmf rxdata(k,12)];
|
||||
if(rx_string(k-1,13) == 'STATE_CH_SW')
|
||||
ch2_begin = [ch2_begin;k];
|
||||
end
|
||||
elseif (rx_string(k,13) == 'STATE_CH3')
|
||||
ch3_dmf = [ch3_dmf rxdata(k,12)];
|
||||
if(rx_string(k-1,13) == 'STATE_CH_SW')
|
||||
ch3_begin = [ch3_begin;k];
|
||||
end
|
||||
elseif (rx_string(k,13) == 'STATE_CH4')
|
||||
ch4_dmf = [ch4_dmf rxdata(k,12)];
|
||||
if(rx_string(k-1,13) == 'STATE_CH_SW')
|
||||
ch4_begin = [ch4_begin;k];
|
||||
end
|
||||
end
|
||||
end
|
||||
% 对DMF序列以捕获次数分行
|
||||
ch1_dmf = (reshape(ch1_dmf,[length(ch1_dmf)/captureNum,captureNum])).';
|
||||
ch2_dmf = (reshape(ch2_dmf,[length(ch2_dmf)/captureNum,captureNum])).';
|
||||
ch3_dmf = (reshape(ch3_dmf,[length(ch3_dmf)/captureNum,captureNum])).';
|
||||
ch4_dmf = (reshape(ch4_dmf,[length(ch4_dmf)/captureNum,captureNum])).';
|
||||
|
||||
|
||||
ch1_max = zeros(captureNum,1);
|
||||
ch2_max = zeros(captureNum,1);
|
||||
ch3_max = zeros(captureNum,1);
|
||||
ch4_max = zeros(captureNum,1);
|
||||
ch1_pos = zeros(captureNum,1);
|
||||
ch2_pos = zeros(captureNum,1);
|
||||
ch3_pos = zeros(captureNum,1);
|
||||
ch4_pos = zeros(captureNum,1);
|
||||
% 找出DMF输出相关峰后半段序列中最大峰对应序号
|
||||
for kk = 1:captureNum
|
||||
[ch1_max(kk),ch1_pos(kk)] = max(ch1_dmf(kk,ceil(length(ch1_dmf(kk,:))/2):end));
|
||||
[ch2_max(kk),ch2_pos(kk)] = max(ch2_dmf(kk,ceil(length(ch2_dmf(kk,:))/2):end));
|
||||
[ch3_max(kk),ch3_pos(kk)] = max(ch3_dmf(kk,ceil(length(ch3_dmf(kk,:))/2):end));
|
||||
[ch4_max(kk),ch4_pos(kk)] = max(ch4_dmf(kk,ceil(length(ch4_dmf(kk,:))/2):end));
|
||||
ch1_pos(kk) = ch1_pos(kk) + ceil(length(ch1_dmf(kk,:))/2) - 1;
|
||||
ch2_pos(kk) = ch2_pos(kk) + ceil(length(ch2_dmf(kk,:))/2) - 1;
|
||||
ch3_pos(kk) = ch3_pos(kk) + ceil(length(ch3_dmf(kk,:))/2) - 1;
|
||||
ch4_pos(kk) = ch4_pos(kk) + ceil(length(ch4_dmf(kk,:))/2) - 1;
|
||||
end
|
||||
% 计算ch2~ch4相关峰相对于ch1偏移的位置。ch_begin为DMF序列在ila中的开始位置，
|
||||
% pos为DMF序列中最大值的位置，相加为最大值在整个ila中的决定位置。插值为载波偏移的采样点数
|
||||
ch2_pos_shift = (ch2_pos + ch2_begin) - (ch1_pos + ch1_begin);
|
||||
ch3_pos_shift = (ch3_pos + ch3_begin) - (ch1_pos + ch1_begin);
|
||||
ch4_pos_shift = (ch4_pos + ch4_begin) - (ch1_pos + ch1_begin);
|
||||
|
||||
% 计算频偏补偿载波的(频率/fs)
|
||||
f_out = 2 * pi * pinc / (2^phase_width);
|
||||
|
||||
% 计算串行捕获带来的相位偏移
|
||||
ch2_phase_comp = ch2_pos_shift .* f_out;
|
||||
ch3_phase_comp = ch3_pos_shift .* f_out;
|
||||
ch4_phase_comp = ch4_pos_shift .* f_out;
|
||||
|
||||
PeakValue_ch1 = [];
|
||||
PeakValue_ch2 = [];
|
||||
PeakValue_ch3 = [];
|
||||
PeakValue_ch4 = [];
|
||||
|
||||
% 根据ch_peak_valid信号找到硬件捕获点的信号
|
||||
for kkk = 1:length(rx_string(:,1))
|
||||
if(rxdata(kkk,16) == 1)
|
||||
PeakValue_ch1 = [PeakValue_ch1 (rxdata(kkk+1, 4) + 1i*rxdata(kkk+1, 5))]; % 用rxdata(kkk, 4)+1i*rxdata(kkk, 5)也可以
|
||||
PeakValue_ch2 = [PeakValue_ch2 (rxdata(kkk+1, 6) + 1i*rxdata(kkk+1, 7))];
|
||||
PeakValue_ch3 = [PeakValue_ch3 (rxdata(kkk+1, 8) + 1i*rxdata(kkk+1, 9))];
|
||||
PeakValue_ch4 = [PeakValue_ch4 (rxdata(kkk+1, 10) + 1i*rxdata(kkk+1, 11))];
|
||||
end
|
||||
end
|
||||
|
||||
% 计算相对ch1偏移的相位（考虑串行捕获导致的频偏校准载波相位偏移）
|
||||
for kkkk = 1:captureNum
|
||||
angleEstSym(kkkk,1) = mod((angle(PeakValue_ch2(kkkk))-angle(PeakValue_ch1(kkkk))-ch2_phase_comp(kkkk))/pi*180,360);
|
||||
angleEstSym(kkkk,2) = mod((angle(PeakValue_ch3(kkkk))-angle(PeakValue_ch1(kkkk))-ch3_phase_comp(kkkk))/pi*180,360);
|
||||
angleEstSym(kkkk,3) = mod((angle(PeakValue_ch4(kkkk))-angle(PeakValue_ch1(kkkk))-ch4_phase_comp(kkkk))/pi*180,360);
|
||||
end
|
||||
disp("考虑串行捕获导致的频偏校准载波相位偏移时")
|
||||
angleEstSym
|
||||
|
||||
% 计算相对ch1偏移的相位（不考虑串行捕获导致的频偏校准载波相位偏移）
|
||||
for kkkk = 1:captureNum
|
||||
angleEstSym(kkkk,1) = mod((angle(PeakValue_ch2(kkkk))-angle(PeakValue_ch1(kkkk)))/pi*180,360);
|
||||
angleEstSym(kkkk,2) = mod((angle(PeakValue_ch3(kkkk))-angle(PeakValue_ch1(kkkk)))/pi*180,360);
|
||||
angleEstSym(kkkk,3) = mod((angle(PeakValue_ch4(kkkk))-angle(PeakValue_ch1(kkkk)))/pi*180,360);
|
||||
end
|
||||
disp("不考虑串行捕获导致的频偏校准载波相位偏移时")
|
||||
angleEstSym
|
||||
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|
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|
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|
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|
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|
+108
@@ -0,0 +1,108 @@
|
||||
%% File Header/文件说明
|
||||
%
|
||||
% Beamforming with phased array derives signal characteristics from phase
|
||||
% differences between sensors. Therefore the amplitude-phase consistence is
|
||||
% vital to phased systems.
|
||||
%
|
||||
% The script analyzes the amp-phase relations of ILA captured data, the format
|
||||
% of which is square-shaped pseudorandorm bit sequence. Each channel is
|
||||
% processed seperately with different frequency shifts and different optimum
|
||||
% sampling points. The estimation of amplitude and phase are based on
|
||||
% acculumated correlation peaks.
|
||||
%
|
||||
clc; clear;
|
||||
%% initial parameters/初始参数
|
||||
interp = 8; % interpolation factor
|
||||
channelNum = 4;
|
||||
dataLen = 8192;
|
||||
fs = 48e6;
|
||||
dataFile = "0508/iladata_rx_data.csv";
|
||||
|
||||
% standard pn sequence
|
||||
pnSequence = comm.PNSequence('Polynomial','x^7+x^6+1', ...
|
||||
'InitialConditions',[zeros(1,6),1],'SamplesPerFrame',2^7-1);
|
||||
PRBS7 = pnSequence();
|
||||
PRBS7_polar = 1-2*[PRBS7;0];
|
||||
|
||||
chipLen = length(PRBS7_polar); % pn chip length
|
||||
symNum = dataLen/chipLen/interp; % total symbol number
|
||||
symNumPerAccum = 1; % symbol nbumber of each accumulation
|
||||
accNum = symNum/symNumPerAccum; % total accumulation numbers, i.e. peak numbers
|
||||
|
||||
%% data analysis
|
||||
|
||||
% read data, and swap ch1 and ch2, because loop data locate at ch2 and ch4
|
||||
rxdata = readmatrix(dataFile);
|
||||
seqRx(:,1) = (rxdata(:, 4) + 1i*rxdata(:, 5)).';
|
||||
seqRx(:,2) = (rxdata(:, 6) + 1i*rxdata(:, 7)).';
|
||||
seqRx(:,3) = (rxdata(:, 8) + 1i*rxdata(:, 9)).';
|
||||
seqRx(:,4) = (rxdata(:,10) + 1i*rxdata(:,11)).';
|
||||
|
||||
% compensate frequecny deviation and downsample at optimum sample position based
|
||||
% on the varience of constellation
|
||||
if dataFile.contains("loop")
|
||||
[seqRxDown,fd,samplePos] = suqareShapeFreqEst(seqRx,interp,fs,-50,50,5);
|
||||
else
|
||||
[seqRxDown,fd,samplePos] = suqareShapeFreqEst(seqRx,interp,fs,-30000,30000,100);
|
||||
end
|
||||
|
||||
% split [seqRxDown] into multiple groups, each group contains several symbols to
|
||||
% be correlated with PRBS7 and accumulated
|
||||
seqRxDownSplit = reshape(seqRxDown(1:dataLen/interp,:),chipLen*symNumPerAccum,accNum,channelNum);
|
||||
|
||||
seqRxAcc = zeros(chipLen,accNum,channelNum);
|
||||
desiredPnt = zeros(accNum,channelNum);
|
||||
ampEstSym = zeros(accNum,channelNum);
|
||||
angleEstSym = zeros(accNum,channelNum);
|
||||
|
||||
for i = 1:accNum
|
||||
for j = 1:channelNum
|
||||
% correlation & multi-symbol accumulation
|
||||
groupCorrAcc = sum(reshape(conv(flip(seqRxDownSplit(:,i,j)), ...
|
||||
PRBS7_polar,'same'),chipLen,symNumPerAccum),2)';
|
||||
seqRxAcc(:,i,j) = groupCorrAcc;
|
||||
% peak position
|
||||
desiredPnt(i,j) = groupCorrAcc(abs(groupCorrAcc)==max(abs(groupCorrAcc)));
|
||||
end
|
||||
end
|
||||
|
||||
for i = 1:channelNum
|
||||
ampEstSym(:,i) = abs(desiredPnt(:,i))./abs(desiredPnt(:,1));
|
||||
angleEstSym(:,i) = mod((angle(desiredPnt(:,i))-angle(desiredPnt(:,1)))/pi*180,360);
|
||||
end
|
||||
|
||||
%% figures
|
||||
figure(1);
|
||||
if dataFile.contains("loop")
|
||||
|
||||
subplot(121);
|
||||
plot(ampEstSym(:,[1,4]));
|
||||
legend({"ch1","ch4"});
|
||||
title("Amplitude Estimation");
|
||||
ylim([min(ampEstSym(:,[1,4]),[],'all')-0.1,max(ampEstSym(:,[1,4]),[],'all')+0.1])
|
||||
|
||||
subplot(122);
|
||||
plot(angleEstSym(:,[1,4]));
|
||||
legend({"ch1","ch4"});
|
||||
title("Angle Estimation");
|
||||
ylim([min(angleEstSym(:,[1,4]),[],'all')-10,max(angleEstSym(:,[1,4]),[],'all')+10])
|
||||
|
||||
else
|
||||
|
||||
subplot(121);
|
||||
plot(ampEstSym);
|
||||
legend({"ch1","ch2","ch3","ch4"});
|
||||
title("Amplitude Estimation");
|
||||
ylim([min(ampEstSym,[],'all')-0.2,max(ampEstSym,[],'all')+0.2])
|
||||
|
||||
subplot(122);
|
||||
plot(angleEstSym);
|
||||
legend({"ch1","ch2","ch3","ch4"});
|
||||
title("Angle Estimation");
|
||||
ylim([min(angleEstSym,[],'all')-10,max(angleEstSym,[],'all')+10])
|
||||
|
||||
end
|
||||
|
||||
phase_sym = (360 - mean(angleEstSym))/180;
|
||||
phase = fix(phase_sym * (2^9));
|
||||
angleEstSym
|
||||
+50
@@ -0,0 +1,50 @@
|
||||
function [dataOut, fdTarget, samplePosTarget] = suqareShapeFreqEst(dataIn, interp, fs, fmin, fmax, fd)
|
||||
%suqareShapeFreqEst - 利用星座图的集中程度在一定频率范围内使用频率步进估计方波成形信号的频偏
|
||||
%
|
||||
% data - input complex data, row vector
|
||||
% dataLen - data length
|
||||
% interp - interpolation rate
|
||||
% fs - sampling rate, in Herts
|
||||
% fmin - minimum estimation frequency, in Herts
|
||||
% fmax - maximum estimation frequency, in Herts
|
||||
% fd - estimation frequency step, in Herts
|
||||
|
||||
% dimension
|
||||
[dataLen,channelNum] = size(dataIn);
|
||||
|
||||
freqList = fmin:fd:fmax;
|
||||
freqNum = length(freqList);
|
||||
varRecord = zeros(freqNum,interp);
|
||||
|
||||
dataOut = zeros(dataLen/interp,channelNum);
|
||||
fdTarget = zeros(channelNum,1);
|
||||
samplePosTarget = zeros(channelNum,1);
|
||||
|
||||
for channel = 1:channelNum
|
||||
|
||||
for freq = 1:freqNum
|
||||
|
||||
% carrier
|
||||
cxr = exp(-1i*2*pi*freqList(freq)/fs*(0:dataLen-1)');
|
||||
|
||||
% apply frequency shift onto input data
|
||||
seqRx = dataIn(:,channel).*cxr;
|
||||
|
||||
for samplePos = 0:interp-1
|
||||
seqRxDown = downsample(seqRx,interp,samplePos); % 下采样
|
||||
seqRxDownQuaterOne = abs(real(seqRxDown)) + 1i*abs(imag(seqRxDown)); % 集中到第一象限
|
||||
varRecord(freq,samplePos+1) = var(seqRxDownQuaterOne);
|
||||
end
|
||||
|
||||
end
|
||||
|
||||
[fdIndex, samplePosIndex] = find(varRecord==min(min(varRecord)));
|
||||
fdTarget(channel) = freqList(fdIndex);
|
||||
samplePosTarget(channel) = samplePosIndex-1;
|
||||
|
||||
cxrTarget = exp(-1i*2*pi*fdTarget(channel)/fs*(0:dataLen-1)');
|
||||
seqRxTarget = dataIn(:,channel).*cxrTarget;
|
||||
dataOut(:,channel) = downsample(seqRxTarget,interp,samplePosTarget(channel));
|
||||
end
|
||||
|
||||
end
|
||||
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Some files were not shown because too many files have changed in this diff Show More
Reference in New Issue
Block a user