Support EVM for PRACH in 5G

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Georges Antoun
Georges Antoun el 13 de Feb. de 2023
Comentada: Srinath Bagal el 29 de Mayo de 2023
Is there any example that supports extracting the EVM from the PRACH Channel in 5G?
  • if yes, Could you please share it with us?
  • if no, Could you please suggest any helper function or steps to calculate the PRACH EVM?

Respuestas (1)

Anshuman
Anshuman el 19 de Abr. de 2023
Yes, it is possible to extract the EVM (Error Vector Magnitude) from the PRACH (Physical Random Access Channel) in 5G. Here is an example workflow for extracting the EVM from the PRACH in MATLAB:
  • Generating the PRACH signal
carrier = nrCarrierConfig; % Create a carrier configuration object
prach = nrPRACH(carrier); % Generate the PRACH signal
  • Adding noise to the signal
snr = 15; % Signal-to-noise ratio in dB, adjust it to match the desired noise level
prach_noisy = awgn(prach, snr, 'measured'); % adding white gaussian noise
  • Demodulate the signal
[ref, ~] = nrPRACHSequence(carrier); % Generate the PRACH reference symbols
prach_demod = nrPRACHDemodulate(prach_noisy, carrier.NSize, ref);
  • Compute the EVM using the reference symbols and the demodulated PRACH signal
evm = comm.EVM;
[~, emod] = step(evm, ref, prach_demod);
Here emod variable will contain the EVM in percent.
Hope it helps!
  1 comentario
Srinath Bagal
Srinath Bagal el 29 de Mayo de 2023
Hi,
Is nrPRACHDemodulate available in R2022a toolbox?

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