Quasi-maximum likelihood estimator of multiple polynomial-phase signals

This paper addresses the parameter estimation of multicomponent polynomial-phase signals (mc-PPSs). Recently proposed quasi-maximum likelihood (QML) method based on the short-time Fourier transform (STFT) has been extended to deal with multiple PPSs. The proposed method outperforms state-of-the-art parametric methods developed to deal with multiple PPSs in terms of robustness against noise, while attaining the Cramér-Rao lower bound.