东北大学学报（自然科学版）

东北大学学报(自然科学版) ›› 2008, Vol. 29 ›› Issue (9): 1274-1278.DOI: -

• 论著 • 上一篇    下一篇

基于Householder-QR分解的低复杂度天线选择算法

解志斌;汪晋宽;王赟;高静;   

  1. 东北大学信息科学与工程学院;
  • 收稿日期:2013-06-22 修回日期:2013-06-22 出版日期:2008-09-15 发布日期:2013-06-22
  • 通讯作者: Xie, Z.-B.
  • 作者简介:-
  • 基金资助:
    教育部高等学校博士学科点专项科研基金资助项目(20050145019)

Low-complexity antenna selection algorithm based on complex householder-QR factorization

Xie, Zhi-Bin (1); Wang, Jin-Kuan (1); Wang, Yun (1); Gao, Jing (1)   

  1. (1) School of Information Science and Engineering, Northeastern University, Shenyang 110004, China
  • Received:2013-06-22 Revised:2013-06-22 Online:2008-09-15 Published:2013-06-22
  • Contact: Xie, Z.-B.
  • About author:-
  • Supported by:
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摘要： 对多天线空分复用系统中以符号误码率为准则的天线选择算法进行了深入分析,针对以往传统天线选择算法对所有天线子集搜索计算复杂度高的问题,提出了基于复域Householder-QR分解的天线选择算法.所提算法深入分析了线性接收机接收端信噪比与系统信道矩阵之间的关系,利用接收端信噪比近似边界值得到了低复杂度的选择方案,该算法不仅有效地降低了计算复杂度,同时误码率性能与以往算法相近,提高了空分复用系统的传输可靠性,适用于实际相关信道传播环境.仿真实验表明,与传统算法相比该算法具有良好的性能.

关键词: 多输入多输出(MIMO)系统, 天线选择, 符号误码率(SER), 复域Householder-QR分解, 信噪比(SNR)

Abstract: Conventionally the antenna selection algorithm provides high performance based on minimum bits error rate (BER) in spatial multiplexing system, but it needs the multiplication of a mass of channel matrices with high complexity in computation. To solve this problem, a low-complexity antenna selection algorithm was proposed on the basis of symbol error rate (SER). Studying the approximate equivalent relation between the signal-to-noise ratio (SNR) at receiving end and system channel matrices, an antenna selection algorithm is proposed utilizing the complex Householder-QR factorization. The proposed algorithm provides the high performance close to an optimal one, and has lower complexity in computation than conventional suboptimal algorithm. Simulation results demonstrated that the algorithm proposed enjoys favorable performance at lower cost in comparison with other algorithms.

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