基于高阶奇异值分解的OTHR海杂波抑制算法  

OTHR sea clutter suppression algorithm based on higher order singular value decomposition

作　　者：薄超[1] 顾红[1] 苏卫民[1] 

机构地区：[1]南京理工大学电子工程技术研究中心,江苏南京210094

出　　处：《系统工程与电子技术》2014年第5期872-878,共7页Systems Engineering and Electronics

基　　金：教育部博士点基金(2011321910018);部预研基金(9140A07010713BQ02025)资助课题

摘　　要：针对短相干积累时间(coherent integration time,CIT)引起的多普勒分辨率低,无法从强大海杂波中检测出舰船目标的问题,提出了基于高阶奇异值分解(higher order singular value decomposition,HOSVD)的海杂波抑制算法。首先利用相邻单元内海杂波的相干性,将毗邻距离单元和方位单元的多脉冲接收数据应用三阶张量表示,然后采用HOSVD方法求解三阶张量的海杂波子空间和目标子空间的投影矩阵,最后利用投影矩阵将三阶张量映射到目标子空间以抑制海杂波。该方法与现有子空间类海杂波抑制方法相比,提高了信干噪比(signal to clutter plus noise ratio,SCNR)和峰值旁瓣电平比(peak sidelobe level ratio,PSLR),解决了目标谱峰偏移问题。To solve the problem of low Doppler resolution caused by short coherent integration time （CIT）, leading to the failure of detecting ship targets from the strong sea clutter,a sea clutter suppression algorithm based on higher order singular value decomposition （HOSVD）is proposed.Firstly,the sea clutter coherence of adjacent units is utilized,so the receiving multi-pulse data from the adjacent distance units and orientation units are represented by the three-dimensional tensor.Then the projection matrix of sea clutter subspace and orienta-tion subspace for the three-dimensional tensor is solved by the HOSVD method.Finally,the projection matrix is carried out to map the three-dimensional tensor to the target subspace to suppress sea clutter.Compared with the existed sea clutter suppression methods of subspace,this method increases the signal to clutter plus noise ra-tio （SCNR）and the peak sidelobe level ratio （PSLR）,solves the problem of target peaks shift.

关 键 词：天波超视距雷达 海杂波 高阶奇异值分解 舰船检测 

分 类 号：TN958.93[电子电信—信号与信息处理]