AoA-Based Channel Estimation for Massive MIMO OFDM Communication Systems on High Speed Rails

查看全文 作　　者：Yanrong [1]Zhao;Wenjing [1]Zhao;Gongpu [1]Wang;Bo [2]Ai;Hervin Hidayat [3]Putra;Bagus [3]Juliyanto

机构地区：[1]School of Computer and Information Technology,Beijing Jiaotong University,Beijing 100044,China;[2]the State Key Laboratory of Rail Traffic Control and Safety,Beijing Jiaotong University,Beijing 100044,China;[3]School of Electrical Engineering and Informatics,Bandung Institute of Technology,Bandung,Indonesia

出　　处：《China Communications》索引2020年第17卷第3期,共11页

基　　金：National S&T Project 2018YJS036.This study is supported in part by Key Laboratory of Universal Wireless Communications(BUPT),Ministry of Education,P.R.China(No.KFKT-2018104);by the Natural Science Foundation of China(NSFC,No.61571037,61871026,61961130391,and U1834210);NSFC Outstanding Youth(No.61725101);National Key R&D Program of China under Grant 2016YFE0200900;the Royal Society Newton Advanced Fellowship under Grant NA191006. 摘　　要：Channel estimation is a well-known challenge for wireless orthogonal frequency division multiplexing(OFDM)communication systems with massive antennas on high speed rails(HSRs).This paper investigates this problem and design two practicable uplink and downlink channel estimators for orthogonal frequency division multiplexing(OFDM)communication systems with massive antenna arrays at base station on HSRs.Specifically,we first use pilots to estimate the initial angle of arrival(AoA)and channel gain information of each uplink path through discrete Fourier transform(DFT),and then refine the estimates via the angle rotation technique and suggested pilot design.Based on the uplink angel estimation,we design a new downlink channel estimator for frequency division duplexing(FDD)systems.Additionally,we derive the Cramér-Rao lower bounds(CRLBs)of the AoA and channel gain estimates.Finally,numerical results are provided to corroborate our proposed studies. 关键词：MASSIVE MIMO high speed RAIL channel estimation AOA OFDM

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AoA-Based Channel Estimation for Massive MIMO OFDM Communication Systems on High Speed Rails

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