最优外插Jacobi信号检测算法  

Optimal extrapolation Jacobi signal detection algorithm

作　　者：许耀华[1] 丁梦琴 蒋芳 王翊 XU Yaohua;DING Mengqin;JIANG Fang;WANG Yi(School of Electronics and Information Engineering,Anhui University,Hefei 230601,China)

机构地区：[1]安徽大学电子信息工程学院,安徽合肥230601

出　　处：《安徽大学学报（自然科学版）》2022年第4期45-49,共5页Journal of Anhui University(Natural Science Edition)

基　　金：安徽省高校自然科学研究重点项目(KJ2018A0019);中国科学院上海微系统与信息技术研究所无线传感网与通信重点实验室开放课题(20190911)。

摘　　要：针对大规模多输入多输出(multiple input multiple output,简称MIMO)系统中最小均方误差(minimum mean square error,简称MMSE)信号检测算法复杂度过高及传统Jacobi信号检测算法收敛较慢的问题,提出最优外插Jacobi(optimal extrapolation Jacobi,简称OEJ)信号检测算法.在Jacobi迭代计算中,通过最优外插因子将当前解与下次迭代解进行组合,以加快迭代收敛速度.OEJ信号检测算法的复杂度比MMSE信号检测算法的复杂度低一个数量级.仿真实验结果表明:相对于传统Jacobi及阻尼Jacobi信号检测算法,OEJ信号检测算法的误码率最低,随迭代次数的增加误码率减小最明显、收敛最快.For the high complexity problem of minimum mean square error(MMSE)signal detection algorithm and slower convergence rate problem of Jacobi method in massive multiple input multiple output(MIMO)systems,an optimal extrapolation Jacobi(OEJ)algorithm was proposed.Current solution and the next iterative solution were combined by the optimal extrapolation factor to speed up the iterative convergence speed in the Jacobi iterative calculation.Complexity of the OEJ signal detection algorithm was lower than that of the MMSE signal detection algorithm by one order of magnitude.Simulation results showed that compared with the traditional Jacobi and damped Jacobi signal detection algorithm,the OEJ signal detection algorithm had the lowest bit error rate.Besides,the bit error rate of OEJ signal detection algorithm decreased most obviously and its convergence was the fastest with the increase of the number of iterations.

关 键 词：大规模MIMO 低复杂度 JACOBI迭代 外插因子 

分 类 号：TN929.5[电子电信—通信与信息系统]