中国传媒大学学报(自然科学版)2023,Vol.30Issue(2) :1-8,43.DOI:10.3969/j.issn.1673-4793.2023.02.002

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 elimina-tion in distributed massive MIMO systems

孟阔 杨少石
中国传媒大学学报(自然科学版)2023,Vol.30Issue(2) :1-8,43.DOI:10.3969/j.issn.1673-4793.2023.02.002

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 elimina-tion in distributed massive MIMO systems

孟阔 1杨少石1
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作者信息

  • 1. 北京邮电大学信息与通信工程学院,北京 100876;泛网无线通信教育部重点实验室,北京 100876
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摘要

针对分布式massive MIMO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massive MIMO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.

Abstract

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massive/MIMO/导频污染/导频分配

Key words

channel estimation/distributed massive MIMO/pilot contamination/pilot assignment

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基金项目

北京市自然科学基金-海淀原始创新联合基金前沿项目(L202012)

出版年

2023
中国传媒大学学报(自然科学版)
中国传媒大学

中国传媒大学学报(自然科学版)

CHSSCD
影响因子:0.514
ISSN:1673-4793
参考文献量10
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