SAR interference signal feature vector extraction and simulation based on wavelet packet analysis

Author

Qu, Wei ; Jia, Xin ; Liu, Shuqian ; Wu, Yanhong

Author_Institution

Acad. of Equip. Command & Technol., Beijing, China

Volume

7

fYear

2010

fDate

16-18 Oct. 2010

Firstpage

3234

Lastpage

3238

Abstract

This paper studies the use of wavelet analysis method to realize the non-coherent narrow-band SAR radar signal interference suppression. Based on the full study of Irregular wavelet tree in interference detection and filtering, an adaptive filter using wavelet packet decomposition to extract the interference signal feature vector has been proposed. Simulation experiments based on this method have been carried out, by using SNR improvement, interference rejection ratio, signal distortion and other evaluation criteria to evaluate the results of interference suppression, the results show that the effect of wavelet packet filtering interference suppression is good.

Keywords

adaptive filters; feature extraction; interference suppression; radar imaging; synthetic aperture radar; wavelet transforms; Irregular wavelet tree; SAR interference signal feature vector extraction; adaptive filter; interference detection; interference rejection ratio; noncoherent narrowband SAR radar signal interference suppression; signal distortion; wavelet packet analysis; wavelet packet decomposition; wavelet packet filtering interference suppression; Bandwidth; Filtering; Interference suppression; Wavelet analysis; Wavelet packets; SAR; Wavelet Analysis; adaptive filter; interference suppression;

fLanguage

English

Publisher

ieee

Conference_Titel

Image and Signal Processing (CISP), 2010 3rd International Congress on

Conference_Location

Yantai

Print_ISBN

978-1-4244-6513-2

Type

conf

DOI

10.1109/CISP.2010.5647855

Filename

5647855