系统工程与电子技术 ›› 2022, Vol. 44 ›› Issue (2): 512-519.doi: 10.12305/j.issn.1001-506X.2022.02.20

• 传感器与信号处理 • 上一篇    下一篇

基于投影空间下奇异值分解的海面小目标CFAR检测

时艳玲*, 王磊, 李君豪   

  1. 南京邮电大学通信与信息工程学院, 江苏 南京 210003
  • 收稿日期:2020-11-12 出版日期:2022-02-18 发布日期:2022-02-24
  • 通讯作者: 时艳玲
  • 作者简介:时艳玲(1983—), 女, 副教授, 博士, 主要研究方向为复杂电磁环境下雷达信号处理、海面目标检测、海杂波特性分析|王磊(1997—), 男, 硕士研究生, 主要研究方向为海杂波背景下基于子空间的杂波抑制和目标检测|李君豪(1996—), 男, 硕士研究生, 主要研究方向为信息几何及雷达目标检测
  • 基金资助:
    国家自然科学基金(61201325);南京邮电大学国自孵化基金(NY218045);江苏省研究生科研与实践创新计划项目(SJCX19_0249)

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

Yanling SHI*, Lei WANG, Junhao LI   

  1. School of Telecommunications and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing 210003, China
  • Received:2020-11-12 Online:2022-02-18 Published:2022-02-24
  • Contact: Yanling SHI

摘要:

提出了一种基于投影空间下奇异值分解(singular value decomposition, SVD)的杂波抑制方法。在雷达回波数据中, 利用待检测单元的邻近单元构造杂波空间, 并将杂波空间在投影空间下进行奇异值分解以实现杂波抑制。为此, 本文设计了一种全新的检测器, 即将正交投影(orthogonal projection, OP)、奇异值分解和传统恒虚警(constant false alarm rate, CFAR)检测器相结合, 记为OP-SVD-CFAR。将OP-SVD-CFAR检测器的检测性能与OP-CFAR检测器、最大特征值的矩阵CFAR检测器、SVD-FRFT检测器和CA-CFAR检测器的性能分别进行比较, 通过实验结果可以看出, 本文提出的OP-SVD-CFAR检测器的检测性能明显优于其他算法。

关键词: 海杂波, 杂波抑制, 雷达探测, 投影空间, 奇异值分解

Abstract:

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.

Key words: sea clutter, clutter suppression, radar detection, projection space, singular value decomposition

中图分类号: