Waveform Design for Improved Detection of Extended Targets in Sea Clutter

被引：5
|
作者：
Zhang, Linke [1 ,2 ]
Wei, Na [3 ,4 ]
Du, Xuhao [5 ]
机构：
[1] Wuhan Univ Technol, Key Lab High Performance Ship Technol, Minist Educ, Wuhan 430063, Hubei, Peoples R China
[2] Wuhan Univ Technol, Key Lab Marine Power Engn & Technol, Wuhan 430063, Hubei, Peoples R China
[3] Nanjing Univ, Key Lab Modern Acoust, Nanjing 210000, Jiangsu, Peoples R China
[4] Nanjing Univ, Inst Acoust, Nanjing 210000, Jiangsu, Peoples R China
[5] Univ Western Australia, Dept Mech Engn, Crawley 6008, Australia
来源：
SENSORS | 2019年 / 19卷 / 18期
基金：
中国国家自然科学基金;
关键词：
waveform design; cognitive radar; sea clutter; extended target; low range sidelobes; ADAPTIVE DETECTION; COVARIANCE STRUCTURE; INTERFERENCE;
D O I：
10.3390/s19183957
中图分类号：
O65 [分析化学];
学科分类号：
070302 ; 081704 ;
摘要：
Adaptive waveform design for cognitive radar in the case of extended target detection under compound-Gaussian (CG) sea clutter is addressed. Based on the CG characteristics of sea clutter, the texture component is employed to characterize the clutter ensemble during each closed-loop feedback and its estimation can be used for the next transmitted waveform design. The resulting waveform design problem is formulated according to the following optimization criterion: maximization of the output signal-to-interference-plus-noise ratio (SINR) for sea clutter suppression, and imposing a further constraint on sidelobes level of the waveform autocorrelation outputs for decreasing the false alarm rate. Numerical results demonstrate the effectiveness of this approach.
引用
收藏
页数：10
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