Paper Info
Title
High mobility channel estimation method based on improved basis expansion model
Abstract
In this paper, the problem of high mobility channel estimation in the Long-Term Evolution for Railway (LTE-R) communication system is investigated. By using a Basis Expansion Model (BEM), the channel impulse response is modeled as the sum of several basis functions multiplied by coefficients. By estimating the basis function coefficients, the fast time-varying channel can be approximated. In order to reduce the estimation error resulting from the high frequency basis function, the Generalized Complex Exponential BEM (GCE-BEM) is modified to form an Improved GCE-BEM (IGCE-BEM) by adding a correction coefficient to the basis function. Moreover, an Improved Baseline Tilting (IBT) method is proposed to reduce the Gibbs effect. In addition, linear interpolation, Gauss interpolation, and three-order Hermite interpolation are adopted to obtain the channel impulse response at non pilot locations based on the channel estimation results at pilot positions. The simulation results show that the IGCE-BEM outperforms the CE-BEM and GCE-BEM in terms of the Normalized Mean Squared Error (NMSE). The IBT method is better than the BT method in reducing the Gibbs effect. In addition, combined with the IBT, the IGCE-BEM also has low NMSE under high moving speed and high noise power. The performance of the three-order Hermite interpolation method is higher than that of the linear interpolation and Gauss interpolation approaches.
Year
DOI
Venue
2019
10.1016/j.dcan.2018.03.004
Digital Communications and Networks
Keywords
DocType
Volume
Channel estimation,LTE-R,Basis expansion model,Interpolation algorithm
Journal
5
Issue
ISSN
Citations 
2
2352-8648
0
PageRank 
References 
Authors
0.34
7
5
Name
Order
Citations
PageRank
Jinjin Huang100.34
Yisheng Zhao2546.67
Zhixiang Dong300.34
Mengjia Chen400.68
Zhonghui Chen5153.66