Identification of WFRFT signals' parameter based on multi‐domain statistical features

An efficient approach to recognize the parameter of weighted-type fractional Fourier transform signals based on higher-order cumulant is proposed. Due index additivity transform, statistical features different weighted domains could be jointly considered, overcome problem ambiguity arising from existing estimation methods cumulant. This method can improve ability blind signal recognition no matter in a cooperative or non-cooperative scenario.