CFAR detection for small targets on sea surface based on singular value decomposition in projection space

被引：0
|
作者：
Shi Y. [1 ]
Wang L. [1 ]
Li J. [1 ]
机构：
[1] School of Telecommunications and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing
来源：
Xi Tong Gong Cheng Yu Dian Zi Ji Shu/Systems Engineering and Electronics | 2022年 / 44卷 / 02期
关键词：
Clutter suppression; Projection space; Radar detection; Sea clutter; Singular value decomposition;
D O I：
10.12305/j.issn.1001-506X.2022.02.20
中图分类号：
学科分类号：
摘要：
A method of clutter suppression based on singular value decomposition (SVD) in projection space is proposed. In the radar echo data, the clutter space is constructed directly by using the data vectors of neighboring range cells of cell under test (CUT). The SVD of the clutter space in the projection space is carried out to achieve clutter suppression. Therefore, a new detector is designed which combines orthogonal projection(OP), SVD and the traditional constant false alarm rate (CFAR) detector, called OP-SVD-CFAR. The detection performance of the proposed OP-SVD-CFAR detector is compared with that of the OP-CFAR, the maximum eigenvalue matrix CFAR detector, the SVD fractional Fourier transform (SVD-FRFT) detector and the CA-CFAR detector respectively. The experimental results show that the detection performance of the proposed OP-SVD-CFAR detector is obviously superior to the compared ones. © 2022, Editorial Office of Systems Engineering and Electronics. All right reserved.
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收藏
页码：512 / 519
页数：7
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