Non-stationary and Doubly-Selective Channel Estimation Method Based on Basis Expansion Model

被引：0

作者：

Shen X.-F. ^{[1
]}

Liao Y. ^{[1
]}

Dai X.-W. ^{[2
]}

Liu K. ^{[3
]}

Wang D. ^{[4
]}

机构：

[1] Center of Communication and TT & C, Chongqing University, Chongqing

[2] State Key Laboratory of Synthetical Automation for Process Industry, Northeastern University, Shenyang, 110819, Liaoning

[3] Key Laboratory of Dependable Service Computing in Cyber Physical Society, Chongqing University, Ministry of Education, Chongqing

[4] Chongqing Key Laboratory of Mobile Communications Technology, Chongqing University of Posts and Telecommunication, Chongqing

来源：

Tien Tzu Hsueh Pao/Acta Electronica Sinica | 2019年 / 47卷 / 01期

关键词：

Basis expansion model (BEM); Bayesian filtering; Channel estimation; Doubly-selective channel; Non-stationary channel; Orthogonal frequency division multiplexing (OFDM);

D O I：

10.3969/j.issn.0372-2112.2019.01.027

中图分类号：

学科分类号：

摘要：

For wireless communication in high speed environment, aiming at doubly-selective fading and non-stationary channel features, this paper proposes a Bayesian filtering and smoothing channel estimation method based on basis expansion model (BEM). Aiming at the double-selection of channels, the BEM is adopted to reduce the estimation complexity and eliminate inter carrier interference. Aiming at the channel non-stationary characteristics, a channel estimation based on Bayesian filtering which is able to jointly estimate the time-varying correlation coefficients and channel impulse response is proposed. Simulation results show that the proposed methods have better estimation accuracy and overall performance than the least squares (LS) method and other traditional methods in high-speed scenarios. This method is suitable for the wireless communication system for high speed railway particularly. © 2019, Chinese Institute of Electronics. All right reserved.

引用

页码：204 / 210

页数：6

共 14 条

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