A New Rain/Snow Clutters Suppression Algorithm for Ship Navigational Radar

被引：0

作者：

Tian, Zengshan ^{[1
]}

Li, Shuang ^{[1
]}

Yuan, Zhengwu ^{[1
]}

机构：

[1] Chongqing Univ Posts & Telecommun, Chongqing Key Lab Mobile Commun Technol, Chongqing 400065, Peoples R China

来源：

PROCEEDINGS OF THE 2015 INTERNATIONAL CONFERENCE ON COMMUNICATIONS, SIGNAL PROCESSING, AND SYSTEMS | 2016年 / 386卷

关键词：

Rain/snow clutters; Ship navigation radar; Median filtering; Wavelet denoising; Constant false alarm rate; MULTIPLE-TARGET SITUATIONS; CFAR;

D O I：

10.1007/978-3-662-49831-6_21

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Rain/snow clutters have a significant impact on the performance of navigation radar, and the suppression for rain/snow clutters has been significantly studied. Different from the traditional Constant False Alarm Rate (CFAR)-based suppression, in this paper, a novel suppression algorithm combining median filtering and wavelet denoising is proposed based on the characteristics of rain/snow clutters. First, the median filtering is applied to the data. Then, we adopt wavelet denoising for the sake of reconstructing the data based on decomposed coefficients. Experiments show that our proposed algorithm outperforms the traditional CFAR-based scheme.

引用

页码：203 / 211

页数：9

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