DocumentCode :
461575
Title :
A higher order time-varying moment method for multicomponent chirp signals parameter estimation
Author :
Yu, Xiaohui ; Shi, Yaowu ; Kang, Xiaotao ; Zhang, Yueyun
Author_Institution :
Coll. of Commun. Eng., Jilin Univ., Changchun
Volume :
1
fYear :
2006
fDate :
16-20 2006
Abstract :
Parameter estimation for nonstationary chirp (LFM) signal is a noticeable signal processing problem that shows up in many applications. A special time-varying higher order moment approach is proposed here to realize multicomponent chirp signals parameter estimation. Though chirp signal is nonstationary, its special time-varying fourth order moment in this paper is a function independent of time. Namely this special fourth order moment presents a stationary character. Then a cross fourth order moment MUSIC method is applied to do the following signal processing. Because this technique needs only one dimension search, it is superior to ML method and time-frequency distribution methods (which need two dimension search) in computer burden greatly. Even working in colored noise and relatively low SNR phenomena, the method here is very accurate, highly reliable, and can operate efficiently
Keywords :
matrix algebra; parameter estimation; signal processing; time-frequency analysis; time-varying systems; MUSIC method; SNR phenomena; higher order time-varying moment method; multicomponent chirp signals parameter estimation; signal processing problem; time-frequency distribution methods; Additive noise; Chirp; Colored noise; Frequency estimation; Higher order statistics; Moment methods; Parameter estimation; Signal processing; Signal to noise ratio; Time frequency analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing, 2006 8th International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-9736-3
Electronic_ISBN :
0-7803-9736-3
Type :
conf
DOI :
10.1109/ICOSP.2006.344477
Filename :
4128813
Link To Document :
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