降低大规模MIMO系统中的信道估计延迟方法研究  

Research on Method to Reduce the Delay of Channel Estimation in Massive Mimo Systems

作　　者：刘筱帆 LIU Xiaofan(Information and Communication Institute(Xi’an)Technology Innovation Center Co.,Ltd.,Xi’an Shaanxi 710000,China)

机构地区：[1]信通院(西安)科技创新中心有限公司,陕西西安710000

出　　处：《信息与电脑》2024年第22期131-133,共3页Information & Computer

摘　　要：文章提出了一种基于Kapteyn级数多项式展开的低复杂度信道估计方法,以解决大规模MIMO系统中信道估计的高计算复杂度和延迟问题。通过在Python环境下进行实验,采用Rayleigh衰落信道模型,评估该方法在不同信噪比和天线数量下的性能表现。实验结果表明,该方法在保证高估计精度的同时,显著缩短了计算时间,特别是在大规模天线配置下,计算时间显著优于传统MMSE算法。In the paper,a low complexity channel estimation method based on Kapteyn series polynomial expansion is proposed to solve the high computational complexity and latency of channel estimation in massive MIMO systems.The performance of this method under different signal-to-noise ratio and number of antennas is evaluated by using Rayleigh fading channel model in Python environment.The experimental results show that the proposed method can significantly reduce the calculation time while ensuring high estimation accuracy,especially in the large-scale antenna configuration,the calculation time is significantly better than the traditional MMSE algorithm.

关 键 词：大规模MIMO 信道估计 Kapteyn级数 

分 类 号：TN929[电子电信—通信与信息系统]