Parameter Estimation of Multicomponent Chirp Signals via Sparse Representation

Author

Guo, Jinku ; Zou, Hongxing ; Yang, Xiaojun ; Liu, Guangbin

Author_Institution

Xi´´an Res. Inst. of Hi-Tech, Xi´´an, China

Volume

47

Issue

3

fYear

2011

fDate

7/1/2011 12:00:00 AM

Firstpage

2261

Lastpage

2268

Abstract

A novel algorithm for parameter estimation of multicomponent chirp signals in complicated noise environment is proposed. By the matching pursuit (MP) algorithm, the signal is decomposed into Gabor atoms which provide sparse information that represents the signal time-frequency signature. The Hough transform (HT) is then directly used to estimate the parameter of chirp components without computing the time-frequency distribution. Simulation results show that this algorithm is capable of estimating parameters of multicomponent chirp signals even in the presence of strong intended interference and colored noise.

Keywords

Hough transforms; interference (signal); maximum likelihood estimation; signal representation; time-frequency analysis; Gabor atoms; Hough transform; MP algorithm; chirp components; colored noise; complicated noise environment; matching pursuit algorithm; multicomponent chirp signals; parameter estimation; signal time-frequency signature; sparse information; sparse representation; strong intended interference; time-frequency distribution; Atomic clocks; Chirp; Dictionaries; Estimation; Matching pursuit algorithms; Signal to noise ratio; Time frequency analysis;

fLanguage

English

Journal_Title

Aerospace and Electronic Systems, IEEE Transactions on

Publisher

ieee

ISSN

0018-9251

Type

jour

DOI

10.1109/TAES.2011.5937300

Filename

5937300