Robust PWVD for the analysis of polynomial FM signals in non-Gaussian noise

Considers the analysis of a polynomial FM signal corrupted by heavy-tailed additive noise. Standard time-frequency techniques fail to analyse such noisy signals. For that, we propose here a new method, named the robust polynomial WVD, to handle this case. We show that this proposed technique is able to reveal the instantaneous frequency of the noisy signal in an accurate way. Also, we show that this representation outperforms the recently proposed robust WVD and the robust spectrogram in terms of artifacts suppression and high time-frequency resolution for this class of signal.