大规模MIMO中基于并行干扰消除多用户检测算法  

Multi-user Detection Algorithm Based on Parallel Interference Cancellation for Massive MIMO Communications

作　　者：姜晓琳[1] 郑黎明[1] 王钢[1] 杨文超[1] 

机构地区：[1]哈尔滨工业大学通信技术研究所,黑龙江哈尔滨150080

出　　处：《无线电工程》2015年第12期1-5,共5页Radio Engineering

基　　金：自然科学基金项目(61401120);国家科技重大专项项目(2015ZX03001041-002)

摘　　要：在发射与接收端天线数目相当的大规模多输入多输出(MIMO)系统中,线性检测算法的性能较差,而检测性能优异的检测算法复杂度偏高。针对该问题,提出增强型并行干扰消除算法(MMSE-e PIC),将搜索空间扩大到噪声增强方向矩阵的正交向量空间,同时利用近似对数似然方程值排序来减小复杂度。仿真结果表明,在误比特率为10-5时,MMSE-e PIC算法所需单位比特噪声功率谱密度比传统最小均方误差串行干扰消除(MMSE-SIC)算法小2 d B,复杂度较MMSE-SIC降低了25%,在保持良好检测性能的前提下,复杂度明显降低,可以较好地实现大规模MIMO的上行检测。In MIMO systems,the linear detection algorithm is inferior when the number of receiving antennas is close to that of transmitting antennas, and the algorithms with good performance are usually of high complexity.To solve the problem, an MMSE-ePIC is proposed,where the searching space is expanded to normal eigenvector space of noise enhanced direction matrix,and the complexity is reduced based on the sorting of approximated log likelihood function values.The computer simulations show that the noise power spectral density of the proposed algorithm is 2 dB less than that of conventional MMSE-SIC ,with decreased computational complexity of 25%. The modified MMSE detection algorithm has good detection performance and significantly decreased complexity, and approves to be a good option to implement uplink muhi-user detection in large-scale MIMO communications.

关 键 词：大规模MIMO 多用户检测 增强并行干扰消除算法 

分 类 号：TN92[电子电信—通信与信息系统]