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基于电磁矢量传感器的MIMO天线阵列系统研究 被引量：2

Analysis of MIMO antenna array based on electromagnetic vector sensor
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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。 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.
作者 周杰 邱琳 菊池久和
机构地区 南京信息工程大学电子与信息工程学院 日本国立新泻大学工学部电气电子工学科
出处 《通信学报》 EI CSCD 北大核心 2013年第5期1-11,共11页 Journal on Communications
基金 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)~~
关键词 MIMO阵列天线 标量传感器阵列 电磁矢量传感器 空间谱估计 信道容量 MIMO antenna array scalar sensor array electromagnetic vector sensor spatial spectrum estimation chan-nel capacity
分类号 TN911.6 [电子电信—通信与信息系统]
  • 相关文献

参考文献14

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共引文献5

同被引文献24

  • 1汤吉,赵国泽,陈小斌,詹艳,王继军,肖骑彬.地震电磁卫星载荷及现状[J].地球物理学进展,2007,22(3):679-686. 被引量：17
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引证文献2

二级引证文献4

通信学报
2013年 第5期

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