Coherently integrated cubic phase function for multiple LFM signals analysis

Abstract

The cubic phase function (CPF) based estimator is efficient in estimating the parameters for mono‐component linear frequency‐modulated (LFM) signals. However, it suffers from cross‐terms and spurious peaks when dealing with multi‐component LFM signals. Aimed at this identifiability problem, a coherently integrated CPF (CICPF) algorithm is proposed to enhance the auto‐terms and suppress spurious peaks. Comparisons with several existing algorithms are made, which show that the CICPF not only solve the identifiability problem for multi‐component LFM signals, but also acquires high anti‐noise performance.