DCA1000EVM: Data alignment of multiple Chirp Tx capture data

To TI Engineer

We have additional question.

We confirmed the following link.

https://e2e.ti.com/support/sensors/f/1023/p/713215/2643238?tisearch=e2e-sitesearch&keymatch=DCA1000EVM%2525252520AND%2525252520TDM%2525252520MIMO#2643238

The profile and chirp of the SensorConfig tab were set to the following referring to the link.

In addition, I set the Frame as follows.

What pattern is the raw.bin data alignment that DCM1000EVM stores?

We think following pattern.

Are we misunderstood in the first place?

Best Regards,

Suzukimo

Hi,

The data format is described in the mmWave Studio User's Guide.

Here is a small section of matlab code that we use to read raw data captured in MIMO for AWR1843.

Thank you

Cesar

% 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);