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基于电磁矢量传感器的MIMO多天线阵列系统研究

周杰1,2,邱琳1,菊池久和2   

  1. 1. 南京信息工程大学 电子与信息工程学院,江苏 南京 210044;2. 日本国立新泻大学 工学部电气电子工学科,新泻 950-2181
  • 出版日期:2013-05-25 发布日期:2013-05-15
  • 基金资助:
    国家自然科学基金资助项目(61072137);科技部公益性行业科研专项基金资助项目(GYHY200906053);江苏省科技支撑计划(工业)基金资助项目(BE2011298);江苏省高校自然科学科学研究计划基金资助项目(08KJB510009);教育部留学回国人员科研基金资助项目(教外司留20071108);江苏省六大人才高峰基金资助项目(2008-118);江苏省博士后基金资助项目(2011-11-010986678)

Analysis of MIMO antenna array based on electromagnetic vector sensor

  • Online:2013-05-25 Published:2013-05-15

摘要: 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。

Abstract: 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 traditional 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.