数据采集与处理2024，Vol.39Issue(6)：1333-1344,12.DOI:10.16337/j.1004-9037.2024.06.004
一种基于平行因子分解的电磁矢量传感器MIMO雷达测向算法
A Direction-Finding Algorithm for Electromagnetic Vector Sensor MIMO Radar Based on Parallel Factor Decomposition
文方青 1罗祥波 1师俊朋2
作者信息
- 1. 水电工程智能视觉监测湖北省重点实验室,宜昌 443002||三峡大学计算机与信息学院,宜昌 443002
- 2. 国防科技大学电子对抗学院,合肥 230037
- 折叠
摘要
Abstract
Most existing electromagnetic vector sensor multiple-input multiple-output(EMVS-MIMO)radars restrict the distribution of transceiver array elements.The resolution of radar direction measurement is limited due to half-wavelength constraints.To address this limitation,this paper proposes an algorithm based on the parallel factor(PARAFAC)decomposition for two dimension(2D)angle estimation of the target.The algorithm is applicable to arbitrary transmitter array geometries and sparse receiver array geometries.First,a third-order PARAFAC tensor model is constructed for the matched-filtered signal of the receiving array.Second,the PARAFAC decomposition is utilized to estimate the transmit direction,receive direction,and composite factor matrix.Finally,a closed-form solution for high-resolution,ambiguity-free 2D angle estimation of the target is obtained by combining the rotationally invariant method,the vector outer product method and the least squares method.The proposed algorithm is characterized by high accuracy and low computational complexity.Computer simulations verify the tensor decomposition-based algorithm can be applied to an arbitrary dual-base EMVS-MIMO radar model,and can accurately estimate the 2D angular parameters of multiple targets.This validation demonstrates the effectiveness and superiority of the proposed algorithm.关键词
双基地电磁矢量传感器多输入多输出雷达/平行因子分解/二维角度估计/任意阵列几何Key words
duel-base electromagnetic vector sensor multiple-input multiple-output radar(EMVS-MIMO)/parallel factor(PARAFAC)decomposition/2D angle estimation/arbitrary array geometry分类
信息技术与安全科学引用本文复制引用
文方青,罗祥波,师俊朋..一种基于平行因子分解的电磁矢量传感器MIMO雷达测向算法[J].数据采集与处理,2024,39(6):1333-1344,12.
