| 基于近似信息传递算法的大规模MIMO信号检测 |
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| 引用本文： | 秦闯,郑紫微,娄达平,富显祖.基于近似信息传递算法的大规模MIMO信号检测[J].电信科学,2016,32(9):16-21. |
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| 作者姓名： | 秦闯 郑紫微 娄达平 富显祖 |
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| 作者单位： | 宁波大学信息科学与工程学院，浙江 宁波 315211 |
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| 基金项目： | 国家科技重大专项基金资助项目(2011ZX03002-004-02)，教育局高等学校博士学科点专项科研基金资助项目(20113305110002)，宁波市科技创新团队基金资助项目(2011B81002)，The National Science and Technology Major Project(2011ZX03002-004-02)，The Specialized Research Fund for the Doctoral Program of Higher Education(20113305110002)，The Program for Technology Innovation Team of Ningbo Government(2011B81002) |
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| 摘 要： | 大规模多输入多输出(MIMO)技术通过增加天线的数目可以有效降低发送功率，提高能量效率，被认为是5G移动通信的一项关键技术。随着天线数目的大幅增加，信号检测的复杂度随之增加。分析了大规模MIMO 信号检测的研究现状，提出了近似信息传递(AMP)算法，并比较了 AMP 算法、Richarson 算法以及Neumann级数迭代近似算法的复杂度。仿真结果表明，该算法使用较少的迭代次数即可达到和MMSE近似的系统差错性能。
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| 关 键 词： | 大规模MIMO 信号检测 近似信息传递算法 MMSE 误码率 |
Massive MIMO signal detection based on approximate message passing algorithm |
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| Chuang QIN,Ziwei ZHENG,Daping LOU,Xianzu FU.Massive MIMO signal detection based on approximate message passing algorithm[J].Telecommunications Science,2016,32(9):16-21. |
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| Authors: | Chuang QIN Ziwei ZHENG Daping LOU Xianzu FU |
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| Affiliation: | College of Information Science and Engineering,Ningbo University,Ningbo 315211,China |
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| Abstract: | Massive multiple-input multiple-output(MIMO)brings huge improvements in energy efficiency and reduces emission power by using a large number of antennas,which is known as a key technology in the fifth generation (5G)mobile communication.With the increasing number of antennas,the complexity of signal detection is increasing at the same time.According to the research status of massive MIMO signal detection,approximate message passing algorithm was proposed.The complexity of AMP was compared to some iteration algorithm like Richarson algorithm and Neumann series approximation algorithm.The results indicate that the proposed algorithm can use less iteration to achieve almost the same performance of MMSE algorithm. |
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| Keywords: | massive MIMO signal detection approximate message passing algorithm MMSE error bit rate |
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