一种面向导频污染消除的分布式massive MIMO系统信道估计算法  

A channel estimation algorithm for pilot contamination elimination in distributed massive MIMO systems

作　　者：孟阔 杨少石 MENG Kuo;YANG Shaoshi(School of Information and Communication Engineering,Beijing University of Posts and Telecommunication,Beijing 100876,China;Key Laboratory of Universal Wireless Communications,Ministry of Education,Beijing 100876,China)

机构地区：[1]北京邮电大学信息与通信工程学院,北京100876 [2]泛网无线通信教育部重点实验室,北京100876

出　　处：《中国传媒大学学报（自然科学版）》2023年第2期1-8,43,共9页Journal of Communication University of China：Science and Technology

基　　金：北京市自然科学基金-海淀原始创新联合基金前沿项目(L202012)。

摘　　要：针对分布式massiveMIMO系统的导频污染问题,本文提出了一种基于子空间结构化协方差的信道估计算法。该算法利用分布式massiveMIMO系统的空间位置特征,基于时延-多普勒-角域信道支持非重叠特性进行导频污染消除。然后,针对所提出算法本文还设计了一套导频分配方案,以降低重叠信道支持对导频污染消除性能的影响。通过理论证明和仿真分析表明,所提算法具有比有代表性的基线方案更好的性能。A channel estimation algorithm based on subspace structured covariance is proposed in this paper for the pilot contamination problem of distributed massive MIMO systems.The algorithm utilizes the spatial location characteristics of the distributed massive MIMO systems and performs the pilot contamination elimination based on the non-overlap characteristics of the delay-Doppler-angle domain channel supports.Then,a pilot assignment scheme is also designed in this paper for the proposed algorithm to reduce the impact of overlapping channel supports on the pilot contamination elimination performance.The theoretical demonstration and simulation analysis show that the proposed algorithm has better performance than the representative baseline scheme.

关 键 词：信道估计 分布式massiveMIMO 导频污染 导频分配 

分 类 号：TN92[电子电信—通信与信息系统]