Short-Time Maritime Target Detection Based on Polarization Scattering Characteristics

被引:0
|
作者
Chen, Shichao [1 ]
Luo, Feng [2 ]
Tian, Min [2 ]
Lyu, Wanghan [1 ]
机构
[1] Nanjing Tech Univ, Coll Artificial Intelligence, Coll Comp & Informat Engn, Nanjing 211816, Peoples R China
[2] Xidian Univ, Hangzhou Inst Technol, Hangzhou 311200, Peoples R China
基金
中国国家自然科学基金;
关键词
Scattering; Matrix decomposition; Feature extraction; Clutter; Spirals; Detectors; Systems engineering and theory; sea clutter; small target; radar detection; Cameron decomposition; characteristics analysis; SEA CLUTTER; AUTOREGRESSIVE SPECTRUM; FRACTAL CHARACTERISTICS; NETWORK;
D O I
10.23919/JSEE.2023.000148
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In this paper, a detection method combining Cameron decomposition based on polarization scattering characteristics in sea clutter background is proposed. Firstly, the Cameron decomposition is exploited to fuse the radar echoes of full polarization channels at the data level. Due to the artificial material structure on the surface of the target, it can be shown that the non-reciprocity of the target cell is stronger than that of the clutter cell. Then, based on the analysis of the decomposition results, a new feature with scattering geometry characteristics in polarization domain, denoted as Cameron polarization decomposition scattering weight (CPD-SW), is extracted as the test statistic, which can achieve more detailed descriptions of the clutter scattering characteristics utilizing the difference between their scattering types. Finally, the superiority of the proposed CPD-SW detector over traditional detectors in improving detection performance is verified by the IPIX measured dataset, which has strong stability under short-time observation in threshold detection and can also improve the separability of feature space zin anomaly detection.
引用
收藏
页码:55 / 64
页数:10
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