Weighted distance iteration matrix CFAR detector in Sea clutter

被引:2
|
作者
Ye, Lei [1 ]
Jian, Fusheng [2 ]
Yang, Yong [3 ]
Zhang, Wei [3 ]
Yang, Qiang [1 ,4 ]
Chen, Qiushi [1 ]
机构
[1] Harbin Inst Technol, Dept Elect & Informat Engn, Harbin, Peoples R China
[2] Navy Res Acad, Beijing, Peoples R China
[3] Hainan Trop Ocean Univ, Sanya, Peoples R China
[4] Minist Ind & Informat Technol, Key Lab Marine Environm Monitoring & Informat Pro, Harbin, Peoples R China
来源
IET RADAR SONAR AND NAVIGATION | 2020年 / 14卷 / 10期
基金
中国国家自然科学基金;
关键词
object detection; radar detection; radar clutter; geometry; iterative methods; matrix algebra; marine radar; sea clutter; high-frequency surface wave radar; HFSWR; ocean surface; information geometry theory; Riemannian manifold; multidimensional information; WDI-processing technique; cell average CFAR detector; JDL matrix CFAR detector; weighted distance iteration matrix CFAR detector; joint domain localised matrix constant false alarm rate detector; GEOMETRIC MEANS; SUPPRESSION; STATISTICS; ALGORITHM; MODELS;
D O I
10.1049/iet-rsn.2020.0185
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
High-frequency surface wave radar (HFSWR) is an effective method for detecting and monitoring the targets on the ocean surface and above. To improve the detection performance of HFSWR, a new detector is proposed by applying weighted distance iteration (WDI) processing to the joint domain localised (JDL) matrix constant false alarm rate (CFAR) detector. Based on information geometry theory and Riemannian manifold, the proposed detector uses multi-dimensional information (azimuth, Doppler velocity and range information) of the signal to effectively find the target that has drowned in sea clutter and uses WDI-processing technique to suppress the clutter. The experimental results are given to show the superiority of the proposed detector. Compared with cell average CFAR detector and JDL matrix CFAR detector, the proposed detector improves the detection performance effectively.
引用
收藏
页码:1631 / 1639
页数:9
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