基于高阶奇异值分解的OTHR海杂波抑制算法

发布时间：2018-06-16 11:22

本文选题：天波超视距雷达 + 海杂波　；参考：《系统工程与电子技术》2014年05期

【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。
[Abstract]:In view of the low Doppler resolution caused by the short coherent accumulation time (integration) and the inability to detect ship targets from strong sea clutter, a sea clutter suppression algorithm based on high order singular value decomposition (SVD) and high order singular value decomposition (SVD) is proposed. Firstly, using the coherence of sea clutter in adjacent elements, the multi-pulse receiving data of adjacent distance unit and azimuth unit are represented by third-order Zhang Liang. Then we use the HOSVD method to solve the third order Zhang Liang sea clutter subspace and the target subspace projection matrix. Finally, we use the projection matrix to map the third order Zhang Liang to the target subspace to suppress the sea clutter. Compared with the existing subspace-like sea clutter suppression methods, the proposed method improves the signal-to-noise ratio (signal-to-noise ratio) and peak sidelobe ratio (peak sidelobe level ratio- PSLR), and solves the problem of peak shift of target spectrum.
【作者单位】：南京理工大学电子工程技术研究中心;
【基金】：教育部博士点基金(2011321910018) 部预研基金(9140A07010713BQ02025)资助课题
【分类号】：TN958.93

【参考文献】