Land-sea separation and sea surface zoning algorithms for sea surface target

被引：0
作者：
Zhou M. [1 ,2 ]
Ma L. [1 ,2 ]
Wang N. [1 ,2 ]
Yang Y. [1 ,2 ]
机构：
[1] Nanjing Research Institute of Electronics Technology, Nanjing
[2] Key Laboratory of Intellisense Technology, Nanjing
来源：
Journal of Radars | 2019年 / 8卷 / 03期
关键词：
Adaptive detection; Land-sea separation; Marine Surveillance radar; Sea surface zoning;
D O I：
10.12000/JR19036
中图分类号：
学科分类号：
摘要：
Adaptive detection can effectively improve the detection performance of marine surveillance radars; however, the islands or lands introduce discrete or flaky strong clutter, which may result in wrong covariance matrix estimation. Meanwhile, the complexity of the sea clutter complicates the use of a single model to describe the whole sea clutter. To solve the problem of serious degradation of clutter suppression performance when non-uniform samples participate in covariance matrix estimation and inaccuracy of sea clutter modeling, a land-sea separation and sea surface zoning algorithms are proposed for sea surface target detection. First, the land clutter and sea clutter are distinguished according to the characteristics that the phases of land echo sequences are strongly correlated while the phases of ocean echo sequences are random. Second, the sea surface is zoned according to the rubbing angle; further, the optimal distribution suited for each sea clutter zone is fitted and the appropriate adaptive detection method is selected according to the clutter distribution. Finally, the proposed algorithm is validated based on the measured data of an S-band radar. The results show that the proposed algorithm can effectively improve the detection performance of sea surface targets compared with the traditional detection algorithm. © 2019 Institute of Electronics Chinese Academy of Sciences. All rights reserved.
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页码：366 / 372
页数：6
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