A new algorithm for estimating the parameters of a polynomial phase signal

Author

Yong Wang ; Yicheng Jiang

Author_Institution

Res. Inst. of Electron. Eng. Technol., Harbin Inst. of Technol., Harbin

fYear

2009

fDate

20-22 April 2009

Firstpage

1

Lastpage

4

Abstract

This paper presents a new algorithm for estimating the parameters of a polynomial phase signal (PPS). The proposed algorithm is based on the modified version of the Wigner-Ville distribution (WVD). For a quadratic or cubic frequency modulated (FM) signal, it requires two-dimensional (2-D) maximizations. The optimal maximum likelihood algorithm, by contrast, requires a three-dimensional (3-D) or four- dimensional (4-D) maximization. The Monte-Carlo simulations are provided to illustrate the precision of the new method, its application in the instantaneous frequency (IF) estimation and time-frequency distribution are also discussed.

Keywords

Monte Carlo methods; Wigner distribution; frequency estimation; frequency modulation; maximum likelihood estimation; polynomials; signal processing; time-frequency analysis; Monte-Carlo simulations; Wigner-Ville distribution; cubic frequency modulated signal; four-dimensional maximization; instantaneous frequency estimation; optimal maximum likelihood algorithm; parameter estimation; polynomial phase signal; quadratic frequency modulated signal; three-dimensional maximization; time-frequency distribution; two-dimensional maximization; Modified version of the WVD; application; quadratic or cubic FM signal;

fLanguage

English

Publisher

iet

Conference_Titel

Radar Conference, 2009 IET International

Conference_Location

Guilin

ISSN

0537-9989

Print_ISBN

978-1-84919-010-7

Type

conf

Filename

5367655