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 (1): 65-68.DOI: -

• 论著 • 上一篇    下一篇

基于迭代QR分解的MMSE V-BLAST算法

王赟;汪晋宽;宋昕;解志斌;   

  1. 东北大学信息科学与工程学院;东北大学信息科学与工程学院;东北大学信息科学与工程学院;东北大学信息科学与工程学院 辽宁沈阳110004;辽宁沈阳110004;辽宁沈阳110004;辽宁沈阳110004
  • 收稿日期:2013-06-22 修回日期:2013-06-22 出版日期:2008-01-15 发布日期:2013-06-22
  • 通讯作者: Wang, Y.
  • 作者简介:-
  • 基金资助:
    高等学校博士学科点专项科研基金资助项目(20050145019)

MMSE V-BLAST algorithm based on iterative QR decomposition

Wang, Yun (1); Wang, Jin-Kuan (1); Song, Xin (1); Xie, Zhi-Bin (1)   

  1. (1) School of Information Science and Engineering, Northeastern University, Shenyang 110004, China
  • Received:2013-06-22 Revised:2013-06-22 Online:2008-01-15 Published:2013-06-22
  • Contact: Wang, Y.
  • About author:-
  • Supported by:
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摘要： 针对采用最小均方误差(minimum mean square error,MMSE)检测算法在MIMO系统接收端进行检测时,需要进行大量伪逆运算导致检测复杂度增加的问题,提出了用一种基于迭代QR分解的MMSE V-BLAST算法,避免了伪逆运算,有效地降低了检测算法的复杂度,使系统检测性能得到了明显改善.在多散射物无线通信环境下进行仿真实验,结果表明,与传统的算法相比,提案算法在保证相同信噪比,误码率没有显著变化的前提下,系统检测复杂度明显改善.理论分析证明,系统中有效天线数目越多,所提出的算法优越性越明显.

关键词: MMSE, V-BLAST, 误码率, 迭代QR分解, 系统复杂度

Abstract: An improved MMSE (minimum mean square error) V-BLAST algorithm based on iterative QR decomposition is proposed to solve the problem that the complexity of detection becomes higher because lots of pseudo-inverse operations have to be taken when detecting the receiving end of MIMO system with MMSE algorithm. As a result, the complexity is reduced efficiently with the detection performance clearly improved. In the environment where lots of wireless communications were scattered over, a simulation testing was done and the results showed that the computation complexity of the proposed algorithm is obviously reduced in comparison with conventional algorithms only if the BER doesn't change dramatically with the same SNR. The theoretical analysis proves that the more the number of effective antennae, the better the performance of the algorithm proposed.

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