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AoA-Based Channel Estimation for Massive MIMO OFDM Communication Systems on High Speed Rails
Authors:Yanrong Zhao  Wenjing Zhao  Gongpu Wang  Bo Ai  Hervin Hidayat Putra  Bagus Juliyanto
Affiliation:School of Computer and Information Technology;the State Key Laboratory of Rail Traffic Control and Safety;School of Electrical Engineering and Informatics
Abstract: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 CramérRao lower bounds(CRLBs) of the AoA and channel gain estimates. Finally, numerical results are provided to corroborate our proposed studies.
Keywords:massive MIMO  high speed rail  channel estimation  AoA  OFDM
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