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How to use the SPECTRAN V6 via Matlab

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The noise floor shown in RTSA is around -162 dBm (spectrum in RTSA.png). However, the spectrum extracted by MatLab with the following code shows a noise floor around -155 dBm (spectrum extracted by MatLab.png). Where does this discrepancy come from? (The mission file is attached)



address = 'http://localhost:54664/';

blockName = 'Block_Spectran_V6B_0';
RTSASuite = AaroniaHTTP(address);

%Get the Blockgraph configuration attached to the HTTP Server block
[remoteConfig, statusCode] = RTSASuite.getRemoteConfig();
% disp(jsonencode(remoteConfig));

%ask for the health status
[healthstatus, statusCode] = RTSASuite.getHealthStatus();
% disp(jsonencode(healthstatus))

f = 1.2e9

%Set Spectran V6 paramater
[response, statusCode] = RTSASuite.setValueParameter( ...
blockName ,'main', 'float', 'centerfreq',f);

RTSASuite.setEnumParameter( blockName ,'calibration', 'preamp'...
,5 , 'Disabled,Auto,None,Amp,Preamp,Both');

RTSASuite.setEnumParameter( blockName ,'main', 'decimation'...
,1 , '1 / 512');

%start the measurement and wait for it running

% Get Spectra data
r = RequestMessage;
resp = send(r,URI(append(address , 'sample')));
disp( resp.Body.Data );
spectrum = resp.Body.Data.samples;

x = linspace(resp.Body.Data.startFrequency,resp.Body.Data.endFrequency, length(spectrum));

xlabel('f-input f (Hz)');
ylabel('Power in dBm');
title('RTSA Spectra, Spectran V6');

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Quote from CYW on 30/08/2023, 16:05

The exact same Matlab code works perfectly if the "HTTP Server" block connects to the "IQ Power Spectrum" block, as shown in the mission file attached in this post. In other words, the code works for the mission attached in post # 80 but show the error message for the mission attached in post# 78. Therefore, it seems to me that somehow the output of the "IQ Power Spectrum" block is different from the output of the "Spectrum" block, and hence it is an issue about the data type of these 2 blocks.

Wrong. The general output format of both blocks is the same (JSON structure that has a "samples" field which is an array of arrays of numbers). So either for some reason you're receiving a different format, or matlab for some reason is unpacking the data differently than before (going by documentation, it tries to analyze the result to unpack it for convenience). Quite possible that you're not getting any data at all. So there would be nothing to fix in your code (other than proper error handling). That is why it is relevant to see what is actually returned by the send function.

Quote from DevSF on 17/08/2021, 15:44

jhexa, you had multiple errors in your code. If the received packets have all the same amount of samples, following code should work:

j = strfind(char(res)',char([125 10 30])) + 2;
header = jsondecode(char(res(1:(j(1)-2)))');
I=[]; Q=[];
size = header.samples*4;

for i=1:length(j)
values = typecast(res(j(i):(j(i) + size -1)), 'int16');
I = [I (double( values(1:2:size/2) )/header.scale)];
Q = [Q (double( values(2:2:size/2) )/header.scale)];

IQData = I(1:end,1)+1i*Q(1:end,1);
fftsize = 1024+4;

if(fftsize > 1)
fftWindow = hann(fftsize)*2;
y = fftshift( fft( IQData(1:fftsize).*fftWindow, fftsize ) ) ;

y = abs(y/fftsize).^2;
y = y/50;
y = 10*log10( y / 0.001 );

x = linspace(header.startFrequency, header.endFrequency, fftsize);

xlabel('Frequency in Hz');
ylabel('Power in dBm');
title('Spectrum of RTSA IQ Data');
disp('No data to plot');

As far as I can tell, the strfind [125 10 30] looks for the '}\n\x1e' substring to divide different samples. If I ask the Aaronia for several samples, let's say I am using the url: http://localhost:54664/stream?limit=15&format=float32. Because of randomness, I could get in the j index variable values corresponding to that substring that does not correspond to the sample separator. Is there any way to tackle this apart from adding values to that substring such as addding the last part of the metadata before the actual binary samples start: "samples":65536}\n\x1e

Quote from Jaime on 25/01/2024, 09:21

As far as I can tell, the strfind [125 10 30] looks for the '}\n\x1e' substring to divide different samples.

Not quite. That call is for isolating the JSON header from the payload. You should use the information in the parsed header to calculate the number of values in the payload. Combined with the fixed size of values when using a binary output format that should also provide you with the position of the header of the next packet, which can then be used as an offset to apply the same logic on it.

In other words: You must actually parse the packets in sequential order.


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