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.
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