Target Signal Extraction by Adaptive Signal Decomposition Methods

Author

Fu, Jeffrey Shiang ; Cai, Chengjie ; Cheng, Yichang ; Su, Wenkuan

Author_Institution

Dept. of Electron. Eng., Chang Gung Univ., Taoyuan

fYear

2007

fDate

11-14 Dec. 2007

Firstpage

1

Lastpage

4

Abstract

Adaptive signal decomposition method is recently used for the interference reduction and target extraction. Two useful method, the adaptive chirplet decomposition (ACD) and empirical mode decomposition (EMD), are proposed in this paper. Using both simulative and experimental signals, they are compared in terms of Physical meaning, adaptiveness, sensitivity to signal type, interpretation of method, complexity of algorithm and computing time. In most cases, EMD is a better choice.

Keywords

adaptive filters; feature extraction; interference suppression; radar signal processing; adaptive chirplet decomposition; adaptive signal decomposition methods; empirical mode decomposition; interference reduction; target signal extraction; Adaptive filters; Chirp; Filtering; Frequency; Interference; Microwave theory and techniques; Power engineering and energy; Radar; Signal processing; Signal resolution; adaptive chirplet decomposition; empirical mode decomposition; radar target extraction;

fLanguage

English

Publisher

ieee

Conference_Titel

Microwave Conference, 2007. APMC 2007. Asia-Pacific

Conference_Location

Bangkok

Print_ISBN

978-1-4244-0748-4

Electronic_ISBN

978-1-4244-0749-1

Type

conf

DOI

10.1109/APMC.2007.4554781

Filename

4554781