面向高速移动环境的二级信号检测算法  

Secondary signal detection algorithm for high-speed mobile environments

作　　者：王华华[1] 张旭 李峰 WANG Huahua;ZHANG Xu;LI Feng(School of Communications and Information Engineering,Chongqing University of Posts and Telecommunications,Chongqing 400065,China)

机构地区：[1]重庆邮电大学通信与信息工程学院,重庆400065

出　　处：《计算机应用》2024年第4期1236-1241,共6页journal of Computer Applications

基　　金：重庆市自然科学基金资助项目(cstc2021jcyj⁃msxmX0454)。

摘　　要：正交时间序列复用(OTSM)可以以更低的复杂度实现类似正交时频空间(OTFS)调制的传输性能,为未来需要低复杂度收发器的高速移动性通信系统提供一种有前景的解决方法。针对现有的基于时域的高斯-赛德尔(GS)迭代均衡效率不高的问题,提出二级信号检测算法。首先在时域进行低复杂度线性最小均方误差(LMMSE)检测,其次采用连续超松弛(SOR)迭代算法进一步消除残余符号干扰。为进一步提高收敛效率和检测性能,对SOR算法进行线性优化得到改进SOR(ISOR)算法。仿真实验结果表明,与SOR算法相比,ISOR算法在增加较低复杂度前提下可以提升检测性能并加快算法收敛。与GS迭代算法相比,ISOR算法采用16QAM调制且误码率为10-4时有1.61 dB的增益。Orthogonal Time Sequency Multiplexing(OTSM)achieves transmission performance similar to Orthogonal Time Frequency Space(OTFS)modulation with lower complexity,providing a promising solution for future high-speed mobile communication systems that require low complexity transceivers.To address the issue of insufficient efficiency in existing time-domain based Gauss-Seidel(GS)iterative equalization,a secondary signal detection algorithm was proposed.First,Linear Minimum Mean Square Error(LMMSE)detection with low complexity was performed in the time domain,and then Successive Over Relaxation(SOR)iterative algorithm was used to further eliminate residual symbol interference.To further optimize convergence efficiency and detection performance,the SOR algorithm was linearly optimized to obtain an Improved SOR(ISOR)algorithm.The simulation experimental results show that compared with SOR algorithm,ISOR algorithm improves detection performance and accelerates convergence while increasing lower complexity.Compared with GS iterative algorithm,ISOR algorithm has a gain of 1.61 dB when using 16 QAM modulation with a bit error rate of 10-4.

关 键 词：正交时间序列复用 正交时频空间调制 连续超松弛 信号检测 线性最小均方误差 符号干扰 

分 类 号：TN926[电子电信—通信与信息系统]