Virtual Massive MIMO Channel Estimation Algorithm in UAV Swarm Communications

被引：0
|
作者：
Zhang T. [1 ]
Li Y. [1 ]
Shen H. [2 ]
机构：
[1] School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing
[2] Beijing Branch, China Telecom Company Limited, Beijing
来源：
Beijing Youdian Daxue Xuebao/Journal of Beijing University of Posts and Telecommunications | 2022年 / 45卷 / 06期
关键词：
Channel estimation; Massive multiple input multiple output; Unmanned aerial vehicle communications;
D O I：
10.13190/j.jbupt.2022-138
中图分类号：
学科分类号：
摘要：
In the application scenario of hot spots coverage with unmanned aerial vehicle (UAV) swarm communications, a channel estimation algorithm for virtual large-scale multiple input multiple output (MIMO) channel in UAV swarm communication is proposed. The proposed channel algorithm includes a direction of arrival (DOA) estimation algorithm and a sub-array spacing estimation algorithm in the steering-vector of the channel state information. Since the air-to-ground channel state depends on the angle domain information of the ground users, the auxiliary user is used to estimate the direction angle of the UAV. Based on this, a reduced rank-based DOA estimation algorithm is proposed to obtain high-precision DOA information. Furthermore, since the dynamic position change of UAV results in the relative position change of antenna arrays of different UAVs, a sub-array spacing estimation algorithm based on optimization search is proposed to avoid the high computational complexity caused by large-scale search. Simulation results show that the proposed DOA and sub-array spacing estimation algorithm can improve the accuracy of channel estimation. © 2022, Editorial Department of Journal of Beijing University of Posts and Telecommunications. All right reserved.
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页码：46 / 52
页数：6
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