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
投稿时间: 2023/4/20 0:00:00
DOI:
中文关键词: 信道估计;分布式massive MIMO;导频污染;导频分配
英文关键词: channel estimation; distributed massive MIMO; pilot contamination; pilot assignment
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)
姓名 单位
孟阔 北京邮电大学 信息与通信工程学院
杨少石 北京邮电大学 信息与通信工程学院
点击数:1989 下载数:1201
中文摘要:

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。

英文摘要:

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 system 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.

参考文献: