Hi all,
I am collecting raw data from AWR1642 using DCA1000EVM card. I have a question regarding computing 1D FFT to received chirps.
In vital signs lab, they are using only one chirp per frame, compute the range FFT (1D FFT / chirp) and do further process to get breathing and heart signals.
in my case, I am writing a short python script to get the 1D fft for each chirp for some further processing.. (scipy.fftpack.fft function)
my question is: in vital signs lab, are they combining more than one chirp (more than one frame) for the FFT computations ? or range FFT per single chirp ?
knowing that each frame takes 50ms and in just 50ms we can't extract something about the breathing signal from just 1 chirp FFT signal..
what is the best process (in term of FFT computations) that lead to the vital signs extraction !
attached you can find an fft plot of one chirp(200 samples), another one of 5 chirps(1000 samples).
thanks in advance,
