基于投影空间下奇异值分解的海面小目标CFAR检测

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,...

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

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.