An Algorithm for Parameter Estimation of Multicomponent Chirp Signals

Author

Yang, Jianyu ; Wang, Pu ; Xiong, Jintao

Author_Institution

Sch. of Electron. Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu

Volume

3

fYear

2006

fDate

14-19 May 2006

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 polynomial phase signals (PPS) with order is less than or equal to 3. When the CPF is dealing with multicomponent chirp signals, the spurious peaks arise and thus the identifiability problem occurs. A new approach based on the transformation called product cubic phase function (PCPF) is proposed to remove this problem. This estimator offers a number of advantages with respect to CPF including improved noise rejection, suppression of cross terms, and elimination of spurious peaks. The algorithm is verified by simulation results

Keywords

parameter estimation; polynomials; signal denoising; cross terms suppression; cubic phase function; monocomponent polynomial phase signals; multicomponent chirp signals; noise rejection; parameter estimation; product cubic phase function; spurious peaks elimination; Chirp modulation; Frequency estimation; Maximum likelihood estimation; Mobile communication; Parameter estimation; Phase estimation; Polynomials; Radar signal processing; Signal processing; Signal processing algorithms;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech and Signal Processing, 2006. ICASSP 2006 Proceedings. 2006 IEEE International Conference on

Conference_Location

Toulouse

ISSN

1520-6149

Print_ISBN

1-4244-0469-X

Type

conf

DOI

10.1109/ICASSP.2006.1660676

Filename

1660676