Abstract

In order to resolve the problem of joint direction of departure (DOD) and direction of arrival (DOA) estimation in bistatic MIMO array, a dimensional reduced-Capon method based on Taylor series expansion and signal subspace is proposed in this paper. Firstly, the Taylor series expansion of the steering vector is used to reduce the two-dimensional (2D) spectrum peak searching of Capon method to one-dimensional searching. Then, the DOD estimator can be achieved via Lagrange multiplier by one-dimension search. Finally, the steering vector of DOA corresponding to the DOD estimator is achieved and the DOA can be estimated. Hence, the estimated DOD and DOA are obtained automatically paired. And also, the proposed method can avoid the high computational complexity of MIMO Capon method. Simulation results are presented to illustrate the effectiveness of the proposed method.

Highlights

  • 基于降维 Capon 的双基地 MIMO 阵列目标 DOD 和 DOA 联合估计算法

  • Journal of Electronics & Information Technology, 2009, 31(7) :1664⁃1668 [22] 刘亚宁,张秦,郑桂妹. 基于降维 Capon 的相干信号二维 DOA 估计算法[ J] . 探测与控制学报, 2018,40(5) :105⁃110 LIU Yaning, ZHANG Qin, ZHENG Guimei. 2⁃Dimensional DOA Estimation Algorithm of Coherent Signals Based on Reduced⁃ Dimension Capon[ J]

  • In order to resolve the problem of joint direction of departure ( DOD) and direction of arrival ( DOA) es⁃ timation in bistatic MIMO array, a dimensional reduced⁃Capon method based on Taylor series expansion and signal subspace is proposed in this paper

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Summary

Introduction

基于降维 Capon 的双基地 MIMO 阵列目标 DOD 和 DOA 联合估计算法 关 键 词:双基地多输入多输出( MIMO) 阵列;发射角( DOD) ;接收角( DOA) ;泰勒级数展开; Capon 第 l 阶导数。 将(18) 式代入 MIMO Capon 空间谱 AHr ( φ) ( at( θ) ⊗ IMr ) HR -1( at( θ) ⊗ IMr ) ar( φ) =

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