电讯技术Issue(8)：901-905,5.DOI:10.3969/j.issn.1001-893x.2015.08.013
基于格基约减辅助的低复杂度MIMO信号检测算法
A Low Complexity MIMO Detection Algorithm Based on Lattice Reduction
摘要
Abstract
In Multiple Input Multiple Output( MIMO) systems,it is difficult to use conventional lattice basis reduction for signal detection in reality due to its high complexity. In order to solve this problem,a low-complexity algorithm based on Brun’ s algorithm is proposed. First,the algorithm uses Singular Value De-composition( SVD) to obtain the integer relationship between channel matrix’s singular vector and conver-ted matrix. Then,it uses Brun’s algorithm to reduce the dual basis of channel matrix. Finally,the algo-rithm uses the new dual basis to perform linear detection. Simulation results indicate that the algorithm’s complexity is one tenth of Lenstra Lenstra Lovasz(LLL) aided signal detection algorithm,and it can a-chieve the performance gains over the conventional linear detection,especially for high signal-to-noise ra-tio( SNR) range. So,the algorithm can get a better tradeoff between detection performance and computa-tional complexity.关键词
MIMO系统/信号检测/格基约减/LLL算法/Brun算法Key words
MIMO system/signal detection/lattice reduction/LLL algorithm/Brun's algorithm分类
信息技术与安全科学引用本文复制引用
王明月,周围,景小荣..基于格基约减辅助的低复杂度MIMO信号检测算法[J].电讯技术,2015,(8):901-905,5.基金项目
国家科技重大专项(2014ZX03001009-003) Foundation Item:The National Science and Technology Major Special Project of China(2014ZX03001009-003) （2014ZX03001009-003）
