Multicomponent chirp signals analysis using product cubic phase function

Authors:
Pu Wang;Jianyu Yang
Affiliations:
School of Electronic Engineering, University of Electronic Science and Technology of China, Chengdu 610054, PR China;School of Electronic Engineering, University of Electronic Science and Technology of China, Chengdu 610054, PR China
Venue:
Digital Signal Processing
Year:
2006

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Abstract

This paper presents an algorithm for estimating the parameters of multicomponent chirp signals. The estimator is based on the cubic phase function (CPF), which is efficient to estimate the parameters of monocomponent first-, second-, and third-order polynomial phase signal. When the CPF is dealing with multicomponent chirp signals, the spurious peaks arise and hence the identifiability problem exists. A new approach based on the product cubic phase function (PCPF) is proposed to remove the identifiability problem. The occurrence probability of spurious peak, and the effect of noise to the estimator are statistically studied. The simulation examples are provided for validating the theoretical analysis.