Title :
Satellite Recognition Base on Wavelet Denoising in HRRP Feature Extraction
Author :
Xiankang, Liu ; Meiguo, Gao ; Xiongjun, Fu
Author_Institution :
Beijing Inst. of Technol., Beijing
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;
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
DOI :
10.1109/ICIEA.2007.4318867
