首页 | 本学科首页   官方微博 | 高级检索  
     

一种用于秩损信道下的MIMO检测算法
引用本文:蒋攀攀,赵卫波,徐 尧,王大鸣. 一种用于秩损信道下的MIMO检测算法[J]. 计算机应用研究, 2013, 30(10): 3088-3090
作者姓名:蒋攀攀  赵卫波  徐 尧  王大鸣
作者单位:信息工程大学,郑州,450002
基金项目:国家“863”计划基金资助项目 (2012AA01A502, 2012AA01A505)
摘    要:无线MIMO信道中由于天线相关性或者特殊的散射体结构, 会发生信道矩阵秩损现象, 从而导致传统的QRD-M算法无法直接应用。针对此问题, 首先利用信道规则化算法对信道矩阵进行扩展来解决秩损问题, 然而该预处理过程又会带来新的检测干扰, 通过采用一种改进的QRD-M检测算法来减小此干扰带来的影响。与传统QRD-M算法每层只保留M个节点不同, 改进的QRD-M检测算法将权值大于第M个节点且差值在某个阈值范围内的所有节点都保留下来, 并对阈值大小的选取进行了理论分析。仿真结果表明, 该算法能够在取较小M值下, 仍能获得较优的检测性能。

关 键 词:MIMO  QRD-M  秩损  阈值

MIMO detection algorithm for rank-deficient channels
JIANG Pan-pan,ZHAO Wei-bo,XU Yao,WANG Da-ming. MIMO detection algorithm for rank-deficient channels[J]. Application Research of Computers, 2013, 30(10): 3088-3090
Authors:JIANG Pan-pan  ZHAO Wei-bo  XU Yao  WANG Da-ming
Affiliation:Information Engineering University, Zhengzhou 450002, China
Abstract:The rank of channel matrix would be deficient as a result of antenna correlation or special scattering structure in wireless MIMO channels, in which the traditional QRD-M detection can not be applied directly. Aiming at this problem, this paper used channel regulation algorithm to expand the matrix, but this preprocessing would also bring new detection interference. It proposed the improved QRD-M keeping algorithm to alleviate the influence of this interference. Be different with the traditional QRD-M only M nodes, the proposed algorithm would keep all nodes whose weigh was larger than Mth node and the differential was in range of some threshold value. It gave the theoretical analysis to select the threshold value. The simulation results show that the proposed algorithm can still achieve better solution by selecting lower M.
Keywords:MIMO  QRD-M  rank-deficient  threshold value
本文献已被 万方数据 等数据库收录!
点击此处可从《计算机应用研究》浏览原始摘要信息
点击此处可从《计算机应用研究》下载全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号