I am confused as to whether SFFT makes sense to process chirp sequence signals. The radar fires up a sequence of 100 linear ramps with that are only interrupted by the very short period in which the pll has to decrease the frequency again. In detail

\begin{align} T_{\text{up}} &= 51.2\cdot10^{-6}\, \text s\\ T_{\text{do}} &= 10\cdot10^{-6}\,\text s \end{align} which equals a total measurement time of

$$T_{\text{meas}} = 6.12\cdot10^{-3}\,\text s$$

Sampling only takes place during the upchirp.

I know how to generate range-Doppler maps from this signals via a 2D FFT.

  • Does it make sense to create a spectrogram from this data?
  • And if so, should I treat the individual ramps separately and accumulate range FFT's into a spectrogram or can a SFFT be applied, which, as far as I know, is most appropriate for continuous incoming signals?

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