Volume 24, Issue 1 (7-2005)                   JCME 2005, 24(1): 17-29 | Back to browse issues page


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H. Saeedi, M. Modarres-Hashemi and S. Sadri. Performance Improvement of Radar Target Detection by Wavelet-based Denoising Methods. JCME. 2005; 24 (1) :17-29
URL: http://jcme.iut.ac.ir/article-1-330-en.html

Abstract:   (964 Views)
With progress in radar systems, a number of methods have been developed for signal processing and detection in radars. A number of modern radar signal processing methods use time-frequency transforms, especially the wavelet transform (WT) which is a well-known linear transform. The interference canceling is one of the most important applications of the wavelet transform. In Ad-hoc detection methods, the interference is firstly canceled and then a simple detector, like an energy detector, is used. Therefore, we have used wavelet-based approaches to cancel the interference and then an energy detector has been employed. In this paper, it is shown that in practical cases where the performance of matched filter or near-matched filter is degraded, wavelet-based methods are more efficient. Also, we have shown that for cases where targets with slow radial velocity or one close to blind velocity are removed by the MTI filter, wavelet-based denoising has a better performance.
Full-Text [PDF 470 kb]   (150 Downloads)    
Type of Study: Research | Subject: General
Received: 2014/10/25

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