A Modified Adaptive Sea Clutter Suppression Algorithm Based on PSNR-HOSVD for Skywave OTHR

被引：0
|
作者：
Guan Z. [1 ]
Chen J. [1 ]
Bao Z. [1 ]
机构：
[1] Wuhan Early Warning Academy, Wuhan
来源：
Dianzi Yu Xinxi Xuebao/Journal of Electronics and Information Technology | 2019年 / 41卷 / 07期
基金：
中国国家自然科学基金;
关键词：
High-Order Singular Value Decomposition (HOSVD); Peak Signal-to-Noise Ratio (PSNR); Sea clutter suppression; Skywave Over-The-Horizon Radar (OTHR);
D O I：
10.11999/JEITdzyxxxb-41-7-1743
中图分类号：
学科分类号：
摘要：
The detection performance of ship targets by skywave Over-The-Horizon Radar (OTHR) is affected by the sea clutter seriously. Accurate and adaptive suppression of sea clutter is significant for improving the detection performance of ship target. To solve the non-adaptive shortness of the sea clutter suppression algorithm based on High-Order Singular Value Decomposition (HOSVD), a modified adaptive algorithm based on Peak Signal-to-Noise Ratio (PSNR)-HOSVD is proposed by introducing the PSNR. The modified algorithm has a smaller computational complexity than the one based on HOSVD, since only one projection matrix is established from the left singular vectors of the third-mode unfolding matrix. Meanwhile, the modified algorithm has a better performance than the HOSVD based one, because the components of sea clutter are only aggregated in the column space of the third-mode unfolding matrix. Experimental results based on two sets of measured data received in ideal and non-ideal situations in respective show that, the modified adaptive algorithm based on PSNR-HOSVD has a better performance than the peer algorithms. © 2019, Science Press. All right reserved.
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页码：1743 / 1750
页数：7
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