重庆邮电大学学报（自然科学版）2017，Vol.29Issue(6)：711-716,6.DOI:10.3979/j.issn.1673-825X.2017.06.001
MIMO系统中基于条件数阈值的格基约减信号检测算法
Lattice reduction aided signal detection algorithm based on condition number threshold in MIMO systems
摘要
Abstract
In multiple-input multiple-output(MIMO) systems,the ML detection algorithm has optimal performance but has high complexity,and the MMSE detection algorithm has lower complexity but its performance is poor.The higher condition number of channel matrix has bad effects on the detection performance of signals.Aimed at these problems,this paper provides a signal detection algorithm based on the condition number threshold of channel matrix,which can enhance the performance of traditional detection algorithm when the condition number is high.The algorithm selects the corresponding detection algorithm by comparing the condition number of channel matrix with the preset threshold:When the condition number is lower than the threshold,the algorithm chooses the LLL-MMSE algorithm which has lower complexity to reduce computational load;when the condition number is higher than the threshold,it chooses the sorted and grouped detection algorithm which combines ML and LLL-MMSE,ensuring the detection performance by increasing a certain amount of computational load.Through the simulation of the BER performance of the algorithm in different thresholds,results show that the proposed algorithm can outperform the traditional LLL-MMSE detection algorithm obviously.By presetting the threshold of the condition number,the algorithm can achieve a better balance between performance and complexity,and finally realize the optimizing of the performance of detection algorithm.关键词
多输入多输出/格基约减/矩阵条件数/阈值/LLLKey words
multiple-input multiple-output/lattice reduction/condition number of matrix/threshold/lenstra-lenstra-lovasz分类
信息技术与安全科学引用本文复制引用
周围,曾雪,樊鹏..MIMO系统中基于条件数阈值的格基约减信号检测算法[J].重庆邮电大学学报（自然科学版）,2017,29(6):711-716,6.基金项目
重庆市基础与前沿研究计划项目(CSTC2015icyjA40040)The Foundation and Frontier Research Project of CQ CSTC(CSTC2015icyjA40040) （CSTC2015icyjA40040）
