基于投影空间下奇异值分解的海面小目标CFAR检测  

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

作　　者：时艳玲[1] 王磊[1] 李君豪 SHI Yanling;WANG Lei;LI Junhao(School of Telecommunications and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing 210003, China)

机构地区：[1]南京邮电大学通信与信息工程学院,江苏南京210003

出　　处：《系统工程与电子技术》2022年第2期512-519,共8页Systems Engineering and Electronics

基　　金：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)资助课题

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。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.

关 键 词：海杂波 杂波抑制 雷达探测 投影空间 奇异值分解 

分 类 号：TN911.23[电子电信—通信与信息系统]