基于电磁矢量传感器的 MIMO 天线阵列系统研究

摘要

EVS(electromagnetic vetor sensor) signal processing method was combined with traditional MIMO signal processing method and three-dimensional channel model of multi-antenna array was set up. The algorithm of multiple signal classification (MUSIC) was adopted to make spatial spectrum estimation for direction of arrival (DOA) signal, analytical expressions of three-dimensional spatial channel was derived base on EVS for MIMO receiver system and the relationship between EVS signal processing and MIMO multipath channel correlation was clarified. To compare with tra-ditional MIMO antenna array, EVS array possesses abilities of obtaining multidimensional polarization information, processing spatial and polarization domain for arrival signal and degrading effects of spatial factors on MIMO channel capacity. Theoretical analysis and simulation results indicate that EVS array provide more advantages than traditional scalar sensor array on enhancing MIMO system performance.%　　将电磁矢量传感器(EVS, electromagnetic vetor sensor)信号处理法与传统 MIMO 信号处理有机地结合，建立了基于 EVS 的多天线三维信道模型。采用多重信号分类(MUSIC, multiple signal classification)算法对 MIMO 的达波信号方向(DOA, direction of arrival)进行空间谱估计，导出基于 EVS 的三维空间信道解析式，阐明了 EVS 信号处理与 MIMO 多径信道相关性的关系。与传统标量传感器阵列(SSA, scalar sensor array)MIMO 天线阵列比较， EVS 阵列能获取达波信号的多维极化信息，同时具有空间域和极化信号处理能力。因此可缓解空间多径信道相关性，使空间极化分量的相关性趋于零值，而且使 MIMO 系统性能受空间结构的影响较小。理论分析和仿真结果表明在提高 MIMO 天线系统性能上，基于 EVS 阵列的系统比 SSA 系统具有更高的优越性。