Radio Environment Map-Aided Doppler Shift Estimation in LTE Railway
Due to the high mobility of high-speed trains (HSTs), Doppler shift estimation has been a big challenge for HSTs. In this paper, the authors consider an orthogonal frequency-division multiplexing (OFDM) system based on the long-term evolution (LTE) railway standard and design the novel Doppler shift estimation algorithm. By exploiting features of HSTs, i.e., regular and repetitive routes and timetables, resulting in a predictable Doppler shift curve, a radio environment map (REM) including the Doppler shift information can be constructed via field tests. Based on REM, a maximum a posteriori estimator (MAPE) is proposed to provide an accurate estimation of Doppler shift. It uses the estimation from REM (REME) as a priori knowledge and exploits the cyclic prefix (CP) structure of OFDM to provide a maximum a posteriori estimation. The Cramer–Rao lower bounds (CRLBs) are derived. The performance of MAPE is evaluated via simulations and compared to that of REME, the classical CP-based estimator, and other existing methods. It is shown that MAPE significantly outperforms the existing methods in terms of both estimation mean square error (MSE) and bit error rate.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/00189545
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Supplemental Notes:
- Copyright © 2017, IEEE.
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Authors:
- Hou, Zhanwei
- Zhou, Yiqing
- Tian, Lin
- Shi, Jinglin
- Li, Yonghui
- Vucetic, Branka
- Publication Date: 2017-5
Language
- English
Media Info
- Media Type: Web
- Features: Figures; References;
- Pagination: pp 4462-4467
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Serial:
- IEEE Transactions on Vehicular Technology
- Volume: 66
- Issue Number: 5
- Publisher: Institute of Electrical and Electronics Engineers (IEEE)
- ISSN: 0018-9545
- Serial URL: http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=25
Subject/Index Terms
- TRT Terms: Doppler shift; Estimation theory; High speed rail; Measurement of electromagnetic phenomena; Wireless communication systems
- Subject Areas: Data and Information Technology; Railroads;
Filing Info
- Accession Number: 01638501
- Record Type: Publication
- Files: TRIS
- Created Date: May 18 2017 1:50PM