AWR1843BOOST: ADC data from AWR1843 without using DCA1000

Hi,

I order to experiment  with beamstearing, tracking there is lab0011 available in the Automotive Toolbox on the TI Resource Explorer on the TI Cloud, dev.ti.com

It is not possible to collect raw data without the DCA1000 for contnuous frames.

Thank you

Cesar

Hi Cesar,

Can you kindly share the link to that lab?i am unable to find it on resource explorer.

Furthermore,can you guide me for info related to part(c) of my question?

Thanks in advance

Hi Cesar,

Waiting for your guidance pl

Thanks

Hi,

Here is the link to the beam steering lab

Regarding following question

"c) From where i can learn to deal with the raw ADC data from this kit so i can do post processing on it in Matlab?Or how can i see how the post processing is being done on ADC data that is shown in mmWave studio post processing plots?Any reference codes or tutorial that explains the process will be great!"

Our support team can provide you with a short matlab script to parse the raw data from AWR1843BOOST 4Rx/3Tx.

Unfortunately we do no provide any matlab post processing scripts for single chip EVMs These matlab scripts can be implemented from traditional Radar Signal Processing Textbooks.

As you mentioned Raw data can also be post processed with mmWave Studio. The source code for the mmWave Studio Matlab Post Processing scripts is unfortunately not available.

Thank you

Cesar

Hi,

Ok then pl share with me that matlab script for parsing the raw data from AWR1843BOOST.

And i had already explored the the link you shared but AWR1843 is not there in the drop down menu  for  boards selection. Should i select AWR1642?

Thanks

Hi,

Regarding the matlab script please see below

Here is a short script that will parse a raw data file captured for AWR1843BOOST for MIMO configuration

numTXAnt = 3;
numFrames = 2;

% Binary File Location
DirName = 'C:\bin_file_directory\';
fileName = 'file_name.bin';

% Basic Chirp parameters, need be updated for the test
Samples_Per_Chirp = Chirp_NUM_ADC_sample_size;
Chirps_Per_Frame = Chirp_NUM_Chirps;

% Data capture
chunkSize = 2*Samples_Per_Chirp*Chirps_Per_Frame*numAnt;

%*********************************************************************
%% read binary file
%*********************************************************************
fname = strcat(DirName,fileName);
fid = fopen(fname,'r');
    
adcOut = [];
inputLoadingPosition = 0;
for indexFrames=1:numFrames
    
    fseek(fid, inputLoadingPosition, 'bof');
    dataChunk  = fread(fid, chunkSize,'uint16','l');
    inputLoadingPosition = ftell(fid);   
    
    dataChunk = dataChunk - (dataChunk >= 2^15) * 2^16;
    
    % radar_data has data in the following format.
    % Rx0I0, Rx0I1, Rx0Q0, Rx0Q1, Rx0I2, Rx0I3, Rx0Q2, Rx0Q3, ...
    % The following script reshapes it into a 3-dimensional array.
    % size(adcOut) = [ADC samples per chirp x Chirps per Frame x Number of virtual Channels]
    
    len = length(dataChunk) / 2;
    adcOut(1:2:len) = dataChunk(1:4:end) + 1j*dataChunk(3:4:end);
    adcOut(2:2:len) = dataChunk(2:4:end) + 1j*dataChunk(4:4:end);
    adcOut = reshape(adcOut, Chirp_NUM_ADC_sample_size, numTXAnt*4, Chirp_NUM_Chirps);
    adcOut = permute(adcOut, [1, 3, 2]);
        
    %*********************************************************************
    %% Radar signal processing
    %*********************************************************************
    % Plot ADC Data for the 1st Chirp
%     figure(1);clf
%     plot(real(adcOut(:,1,1)),'r');
%     hold on
%     plot(imag(adcOut(:,1,1)));
%     legend('I-Channel', 'Q-Channel'); grid on
%     title('ADC data')
   
    
    
    % 1D range-FFT across the 2nd dimensions (samples), no zero padding
    fftSize1D = size(adcOut,1);
    radar_data_1dFFT = fft(adcOut,[], 1);%.*window_1D
    
    figure(1)
    %TX1 Plots
    subplot(3,4,1)
    imagesc(squeeze(abs(radar_data_1dFFT(:,:,TX1_RX1).')))
    title('TX1-RX1');
    subplot(3,4,2)
    imagesc(squeeze(abs(radar_data_1dFFT(:,:,TX1_RX2).')))
    title('TX1-RX2');
    subplot(3,4,3)
    imagesc(squeeze(abs(radar_data_1dFFT(:,:,TX1_RX3).')))
    title('TX1-RX3');
    subplot(3,4,4)
    imagesc(squeeze(abs(radar_data_1dFFT(:,:,TX1_RX4).')))
    title('TX1-RX4');
    
    %TX2 Plots
    subplot(3,4,5)
    imagesc(squeeze(abs(radar_data_1dFFT(:,:,TX2_RX1).')))
    title('TX2-RX1');
    subplot(3,4,6)
    imagesc(squeeze(abs(radar_data_1dFFT(:,:,TX2_RX2).')))
    title('TX2-RX2');
    subplot(3,4,7)
    imagesc(squeeze(abs(radar_data_1dFFT(:,:,TX2_RX3).')))
    title('TX2-RX3');
    subplot(3,4,8)
    imagesc(squeeze(abs(radar_data_1dFFT(:,:,TX2_RX4).')))
    title('TX2-RX4');

    %TX3 Plots
    subplot(3,4,9)
    imagesc(squeeze(abs(radar_data_1dFFT(:,:,TX3_RX1).')))
    title('TX3-RX1');
    subplot(3,4,10)
    imagesc(squeeze(abs(radar_data_1dFFT(:,:,TX3_RX2).')))
    title('TX3-RX2');
    subplot(3,4,11)
    imagesc(squeeze(abs(radar_data_1dFFT(:,:,TX3_RX3).')))
    title('TX3-RX3');
    subplot(3,4,12)
    imagesc(squeeze(abs(radar_data_1dFFT(:,:,TX3_RX4).')))
    title('TX3-RX4');

Here is a short script that will parse a raw data file captured for AWR1843BOOST for 1TX configuration

% Data capture
chunkSize = 2*Samples_Per_Chirp*Chirps_Per_Frame*numAnt;

%*********************************************************************
%% read binary file
%*********************************************************************
fname = strcat(DirName,fileName);
fid = fopen(fname,'r');

    
adcOut = [];
inputLoadingPosition = 0;
numFrames = 20;
for indexFrames=1:2
    
    fseek(fid, inputLoadingPosition, 'bof');
    dataChunk  = fread(fid, chunkSize,'uint16','l');
    inputLoadingPosition = ftell(fid);   
    
    dataChunk = dataChunk - (dataChunk >= 2^15) * 2^16;
    
    % radar_data has data in the following format.
    % Rx0I0, Rx0I1, Rx0Q0, Rx0Q1, Rx0I2, Rx0I3, Rx0Q2, Rx0Q3, ...
    % The following script reshapes it into a 3-dimensional array.
    % size(adcOut) = [ADC samples per chirp x Chirps per Frame x Number of virtual Channels]
    
    len = length(dataChunk) / 2;
    adcOut(1:2:len) = dataChunk(1:4:end) + 1j*dataChunk(3:4:end);
    adcOut(2:2:len) = dataChunk(2:4:end) + 1j*dataChunk(4:4:end);
    adcOut = reshape(adcOut, Chirp_NUM_ADC_sample_size, numTXAnt*4, Chirp_NUM_Chirps);
    adcOut = permute(adcOut, [1, 3, 2]);
        
    %*********************************************************************
    %% Radar signal processing
    %*********************************************************************
    % Plot ADC Data for the 1st Chirp
     figure(1);clf
     plot(real(adcOut(:,1,1)),'r');
     hold on
     plot(imag(adcOut(:,1,1)));
     legend('I-Channel', 'Q-Channel'); grid on
     title('ADC data')
   
    
    
    % 1D range-FFT across the 2nd dimensions (samples), no zero padding
    fftSize1D = size(adcOut,1);
    radar_data_1dFFT = fft(adcOut,[], 1);%.*window_1D
    
    figure(1)
    subplot(2,2,1)
    imagesc(squeeze(abs(radar_data_1dFFT(:,:,Virtual_Channel).')))
    title('RX1');
    subplot(2,2,2)
    imagesc(squeeze(abs(radar_data_1dFFT(:,:,Virtual_Channel+1).')))
    title('RX2');
    subplot(2,2,3)
    imagesc(squeeze(abs(radar_data_1dFFT(:,:,Virtual_Channel+2).')))
    title('RX3');
    subplot(2,2,4)
    imagesc(squeeze(abs(radar_data_1dFFT(:,:,Virtual_Channel+3).')))
    title('RX4');
   

Hi Cesar,

Thank you for sharing the script..That helps a lot..One small observation:I believe the number of RX antennas are assumed to be 4 here.Like in the following lines of script:

chunkSize = 2*Samples_Per_Chirp*Chirps_Per_Frame*numAnt;

adcOut = reshape(adcOut, Chirp_NUM_ADC_sample_size, numTXAnt*4, Chirp_NUM_Chirps);

Here 'numAnt' are the number of RX antennas?And  'numTXAnt*4' shows that we are using 4 RX channels?If i have to use 1 RX then i will replace it by 1?

Thanks in advance