Satellite Recognition Base on Wavelet Denoising in HRRP Feature Extraction

Author

Xiankang, Liu ; Meiguo, Gao ; Xiongjun, Fu

Author_Institution

Beijing Inst. of Technol., Beijing

fYear

2007

fDate

23-25 May 2007

Firstpage

2530

Lastpage

2533

Abstract

Wavelet denoising is proposed to be used in radar high resolution range profile (HRRP) feature extraction because the HRRP is sensitive to the target pose. It is proposed that wavelet denoising is used to process the HRRP before extracting features, and noise threshold is used as the detecting threshold of strong scattering centers. Denoised HRRP shows that the wavelet threshold denoising can eliminate the influence of the spurious scattering centers outside of target region and reserve the original HRRP characteristics of target region well. Experimental results show that wavelet denoising enhances the HRRP features stability and recognition rate greatly.

Keywords

feature extraction; radar resolution; radar target recognition; signal denoising; HRRP feature extraction; noise threshold; radar high resolution range profile; satellite recognition; scattering center; wavelet denoising; Feature extraction; Industrial electronics; Noise reduction; Satellites; Wavelet denoising; feature extraction; high resolution range profile; scattering centers;

fLanguage

English

Publisher

ieee

Conference_Titel

Industrial Electronics and Applications, 2007. ICIEA 2007. 2nd IEEE Conference on

Conference_Location

Harbin

Print_ISBN

978-1-4244-0737-8

Electronic_ISBN

978-1-4244-0737-8

Type

conf

DOI

10.1109/ICIEA.2007.4318867

Filename

4318867