基于RC-ESPRIT的稀疏EMVS-MIMO雷达二维测向算法

Two-dimensional direction finding algorithm for sparse EMVS-MIMO radar based on RC-ESPRI

摘要:

电磁矢量传感器多输入多输出(electromagnetic vector sensor multiple-input multiple-output, EMVS-MIMO)雷达是一种新兴技术,可实现二维波达角(2D-DOA))估计。 针对单基地稀疏阵列EMVS-MIMO雷达,提出一种基于旋转不变性信号参数估计技术 ESPRIT(estimation of signal parameters via rotational invariance techniques)的降复杂度 (reduced-complexity,RC)信号参数估计算法,能够实现对目标2D-DOA的快速估计。首先, 对接收阵列数据进行RC处理,以消除阵列冗余数据;其次,利用ESPRIT可获得高分辨率的俯仰角估计,由于阵列的稀疏性,该估计值具有模糊性;再次,利用矢量叉积技术获得具有无模糊特性的2D-DOA;最后,利用无模糊的俯仰角估计对有周期模糊的估计进行解模糊,获得具有高分辨率、无模糊特性的俯仰角估计。该算法适用于大规模EMVS-MIMO雷达系统,且相比现有的ESPRIT-Like算法拥有更高的估计精度,通过MATLAB仿真验证了算法的有效性。

Abstract:

The electromagnetic vector sensor multiple-input multiple-output (EMVS-MIMO) radar is an emerging technology that can achieve the estimation of two-dimensional direction of arrival (2D-DOA). For the single-base sparse array EMVS-MIMO radar, a reduced complexity(RC) signal parameter estimation algorithm based on ESPRIT(estimation of signal para-meters via rotational invariance techniques) was proposed, which can quickly estimate the targets 2D-DOA. Firstly, the received array data was processed by RC to eliminate the redundancy of array data; secondly, the ESPRIT was utilized to obtain high-resolution pitch angle estimates, but due to the sparsity of the array, this estimate has ambiguity; thirdly, the vector cross-product technique was used to obtain a 2D-DOA with unambiguous charac teristics; finally, the unambiguous pitch angle estimate was used to resolve the ambiguous estimate with periodic ambiguity, obtaining a high-resolution, unambiguous pitch angle estimate. This algorithm is suitable for large-scale EMVS-MIMO radar systems and has higher estimation accuracy compared to the existing ESPRIT-Like algorithm. The effectiveness of the algorithm has been verified through MATLAB simulation.