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计算机工程 ›› 2011, Vol. 37 ›› Issue (15): 73-75. doi: 10.3969/j.issn.1000-3428.2011.15.022

• 网络与通信 • 上一篇    下一篇

一种高效的QMC检测算法

刘顺兰,钱帅军   

  1. (杭州电子科技大学通信工程学院,杭州 310018)
  • 收稿日期:2011-01-25 出版日期:2011-08-05 发布日期:2011-08-05
  • 作者简介:刘顺兰(1965-),女,教授,主研方向:通信信号处理,自适应信号处理;钱帅军,硕士研究生

High Efficient QMC Detection Algorithm

LIU Shun-lan, QIAN Shuai-jun   

  1. (School of Telecommunication Engineering, Hangzhou Dianzi University, Hangzhou 310018, China)
  • Received:2011-01-25 Online:2011-08-05 Published:2011-08-05

摘要: 基于垂直分层空时码的MIMO-OFDM系统提出一种高效的QMC检测算法,该算法对信道矩阵进行一次排序QR分解,对最先检测的信号层采用ML-OSIC算法,用M算法检测中间的信号层,逐层增加保留值M以提高算法有效性,利用串行干扰消除检测余下的信号层。与QRD-M算法相比,QMC检测算法能降低计算复杂度。仿真结果表明,该算法以更低的计算复杂度获得更接近最大似然检测的性能,取得性能与复杂度之间的折中更理想。

关键词: MIMO-OFDM系统, 垂直分层空时码, 排序QR分解, 排序串行干扰消除, QRD-M算法

Abstract: This paper proposes a new high efficient algorithm based on Vertical Bell Laboratories Layered Space-Time coding(V-BLAST) for MIMO-OFDM systems. The proposed QMC algorithm sorts the channel matrix, and uses the QR decomposition. At the beginning of the detection, the Maximum Likelihood-Ordered Serial Interference Cancellation(ML-OSIC) algorithm is utilized, and the M algorithm is applied to detect the middle symbol layers with M gradually increasing for more efficiency, then the SIC is used for detecting the remained symbol layers. Compared with the conventional QRD-M algorithm, the proposed algorithm significantly reduces the complexity and its performance gets closer to Maximum Likelihood Detection(MLD) performance. Simulation results show that the performance of the proposed QMC algorithm is very close to the MLD algorithm, it obtains a better tradeoff between complexity and performance.

Key words: MIMO-OFDM systems, Vertical Bell Laboratories Layered Space-Time coding(V-BLAST), sorted QR decomposition, sorted serial interference cancellation, QRD-M algorithm

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