一种改进的对偶格基辅助MIMO信号检测算法  

A Modified Algorithm of Dual Lattice Basis Aided MIMO Signal Detection

作　　者：张茜[1] 周围[1,2] 

机构地区：[1]重庆邮电大学移动通信技术重庆市重点实验室,重庆400065 [2]重庆邮电大学光电工程学院,重庆400065

出　　处：《通信技术》2015年第10期1116-1119,共4页Communications Technology

基　　金：国家高技术研究发展计划(863计划)重点项目(2009AA011302);重庆邮电大学研究生教育创新计划重点项目(Y201019);重庆市教委科研项目(K1090513);重庆市科委重点实验室专项经费~~

摘　　要：针对传统量化方法在对偶格基约减中存在较大的量化误差这一问题,提出了一种改进的对偶格基约减量化方法。该方法通过对量化误差进行降序排列,选取量化误差最大的一个元素作为候选点,更新该候选点的量化值,并生成新的候选矢量,最终选取最优的候选矢量作为输出解。通过理论分析和计算机仿真,对不同量化方法下不同检测算法的误比特性能进行了对比研究。结果表明,提出的方法能获得比传统量化方法更优的检测性能且更接近ML检测算法。Aiming at the problem that traditional quantitative method has large quantization error in dual lattice basis reduction algorithm, a modified quantitative method is proposed. By sorting the value of the quantified error in descending order, a symbol with the largest quantified error is selected as a candidate and the quantization value of this candidate is updated, and thus the new candidate vectors created, and finally the optimal candidate selected as the output solution. Through theoretical analysis and computer simulation, the BER performance of different algorithms under different quantitative methods is studied and the experiment results indicate that the proposed method could achieve better detection performance than the traditional quantify method, and its performance is closer to that of ML detection algorithm.

关 键 词：格基约减 对偶格基约减 量化误差 

分 类 号：TN929.5[电子电信—通信与信息系统]