位置协助的无人机毫米波通信网络自适应信道估计

doi:10.19678/j.issn.1000-3428.0056220

计算机工程 ›› 2020, Vol. 46 ›› Issue (6): 196-201. doi: 10.19678/j.issn.1000-3428.0056220

位置协助的无人机毫米波通信网络自适应信道估计

何尔利¹, 纪澎善¹, 贾向东^1,2, 牛春雨¹

1. 西北师范大学计算机科学与工程学院, 兰州 730070;
2. 南京邮电大学江苏省无线通信重点实验室, 南京 210003

收稿日期:2019-10-09 修回日期:2019-12-17 发布日期:2019-12-24
作者简介:何尔利(1978-),男,讲师、硕士,主研方向为无线传感器网络、嵌入式技术;纪澎善,硕士研究生;贾向东,教授、博士;牛春雨,硕士研究生。
基金资助:
国家自然科学基金（61861039，61561043）。

Position-aided Adaptive Channel Estimation for mmWave Communication Network of UAV

HE Erli¹, JI Pengshan¹, JIA Xiangdong^1,2, NIU Chunyu¹

1. College of Computer Science and Engineering, Northwest Normal University, Lanzhou 730070, China;
2. Wireless Communication Key Lab of Jiangsu Province, Nanjing University of Posts and Telecommunications, Nanjing 210003, China

Received:2019-10-09 Revised:2019-12-17 Published:2019-12-24

摘要/Abstract

摘要： 在无人机毫米波通信网络中，无人机与基站间通信可为无人机和核心网络之间的交互提供关键回程链路。为支持基站与无人机之间稳定高传输速率通信及快速接入，提出一种位置信息协助的无人机毫米波通信信道估计方法。以提升毫米波网络对无人机的服务性能为目标，构建无人机和毫米波基站的三维位置模型，使用分层多分辨率码本和自适应信道估计方法，利用源自全球卫星导航系统的侧面信息辅助信道估计过程，并针对接收信噪比和平均信道估计时间进行性能分析。仿真结果表明，与无位置信息辅助的方法相比，该方法能够加快信道估计速度并获得较高的天线阵列增益。

关键词: 毫米波通信, 位置信息, 无人机通信, 信道估计, 波束成形

Abstract: In millimeter-Wave(mmWave) communication network of Unmanned Aerial Vehicles(UAV),communication between the UAV and the base station provides a critical backhaul link for interactions between the UAV and the core network.In order to support stable communication with a high transmissionrate between UAV and base stations as well as fast access,this paper proposes a position-aided channel estimation method for mmWave communication of UAV.With the goal of improving the performance of mmWave network serving UAV,the three-dimensional position model of UAV and mmWave base stations is constructed.Meanwhile,hierarchical multi-resolution codebook and adaptive channel estimation method are adopted,and the side information from the global satellite navigation system assists in channel estimation.Then performance analysis is implemented on the received Signal-to-Noise Ratio(SNR) and the average channel estimation time.Simulation results show that,compared with the methods without the assistance of position information,the proposed method can effectively accelerate the channel estimation process and obtain higher antenna array gains.

Key words: millimeter-Wave(mmWave) communication, position information, Unmanned Aerial Vehicle(UAV) communication, channel estimation, beamforming

中图分类号:

TN929.5

何尔利, 纪澎善, 贾向东, 牛春雨. 位置协助的无人机毫米波通信网络自适应信道估计[J]. 计算机工程, 2020, 46(6): 196-201.

HE Erli, JI Pengshan, JIA Xiangdong, NIU Chunyu. Position-aided Adaptive Channel Estimation for mmWave Communication Network of UAV[J]. Computer Engineering, 2020, 46(6): 196-201.

http://www.ecice06.com/CN/Y2020/V46/I6/196

图/表 5

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