数据采集与处理2018，Vol.33Issue(2)：231-239,9.DOI:10.16337/j.1004-9037.2018.02.005
基于三维压缩感知的MIMO雷达角度估计算法
Angle Estimation Algorithm for MIMO Radar Using Three-Way Compressive Sensing
摘要
Abstract
Tensor model-based parameters estimation is a trend for radar signal processing.However,the existing tensor-model based algorithms cannot achieve a good compromise between estimation accuracy and computational complexity.A three-way compressive sensing (TWCS) based algorithm is developed for angle estimation in multiple-input multiple-output radar.Exploiting the multidimensional structure inherent in the matched filtered data,a third-order tensor signal model is formulated.To lower the storage and computing complexity,the high-order singular value decomposition method is used to compressive the tensor data.The kernel tensor is linked to the trilinear model thus the compressed direction matrixes are obtained.Thereafter,the sparsity of the targets in the background is utilized and two overcomplete dictionaries are constructed for angle estimation with optimization methods.Taking advantage of the inherent multidimensional structure of the received data,the TWCS algorithm achieves better estimation accuracy than traditional subspace-based algorithms.In addition,the TWCS algorithm does not require further pairing of the estimated angles.Furthermore,it could achieve the doppler frequencies of the targets.Simulation results verify the effectiveness of the TWCS algorithm.关键词
多输入多输出雷达/角度估计/三维压缩感知/高阶奇异值分解/三线性模型Key words
multiple-input multiple-output radar/angle estimation/three-way compressive sensing/high-order singular value decomposition/trilinear model分类
信息技术与安全科学引用本文复制引用
文方青,张弓,王鑫海,张宇,贲德..基于三维压缩感知的MIMO雷达角度估计算法[J].数据采集与处理,2018,33(2):231-239,9.基金项目
国家自然科学基金(61271327,61471191,61501233,61701046)资助项目 （61271327,61471191,61501233,61701046）
南京航空航天大学博士学位论文创新与创优基金(BCXJ14-08)资助项目 （BCXJ14-08）
江苏省研究生培养创新工程(KYLX_0277)资助项目 （KYLX_0277）
长江大学电子信息学院创新基金(2016-DXCX-05)资助项目. （2016-DXCX-05）
