Group-iterative QRD-M detection for MIMO system

被引：0
作者：
School of Information Science and Engineering, Northeastern University, China [1 ]
不详 [2 ]
机构：
[1] School of Information Science and Engineering, Northeastern University
[2] Engineering Optimization and Smart Antenna Institute, Northeastern University, Qinhuangdao
来源：
Int. J. Digit. Content Technol. Appl. | 2012年 / 20卷 / 250-258期
关键词：
Maximum likelihood detection; QRD-M; Tree search;
D O I：
10.4156/jdcta.vol6.issue20.27
中图分类号：
学科分类号：
摘要：
In order to reduce calculating complexity, an improved detection, group-iterative QRD-M algorithm, is presented here. Sorted QR decomposition of channel matrix is performed firstly, and maximum likelihood (ML) detection algorithm is used to detect the bottom several layers, then an ordered set is produced by calculating and sorting the partial accumulated metrics (PAM) of these layers, some candidate sequences with smaller PAM are chosen from the set and divided into several groups. QRD-M algorithm is performed on each group in series with terminal conditions, which can get the detection performance near maximum likelihood with little calculating complexity. Simulation results show the validity of proposed algorithm.
引用
收藏
页码：250 / 258
页数：8
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