Abstract The challenges of severe Doppler effects in high-speed railway are considered. By building a cooperative antenna system, an algorithm of joint channel estimation and Doppler frequency offset (DFO) estimation is proposed based on Ricean channel model. First, a maximum likelihood estimation (MLE) algorithm for DFO is designed, showing that the Doppler estimation can be obtained by estimating moving velocity of the train and the path loss with the exploitation of pilots that are placed inside the frame. Then a joint detection algorithm for the receiver is proposed to exploit multi-antenna diversity gains. Last, the theoretical Crammer Rao bound (CRB) for joint channel estimation and DFO estimation is derived. The steady performance of the system is confirmed by numerical simulations. In particular, when the Ricean fading channel parameter equals 5 and the velocities of train are 100 m/s and 150 m/s, the estimation variances of DFO are very close to the theoretical results obtained by using CRB. Meanwhile, the corresponding signal to noise ratio loss is less than 1.5 dB when the bit error rate is 10-5 for 16QAM signals.
This work was partly supported by the China Major State Basic Research Development Program (No. 2012CB316100), National Natural Science Foundation of China (No. 61171064), the China National Science and Technology Major Project (No. 2010ZX03003-003), NSFC (No. 61021001) and the Open Research Fund of National Mobile Communications Research Laboratory, Southeast University (No. 2011D13).
Cite this article:
Yaoqing YANG, Pingyi FAN.Doppler frequency offset estimation and diversity reception scheme of high speed railway with multiple antennas on separated carriage[J] JMT, 2012,V20(4): 227-233
J.Z. Wang, H.L. Zhu, N.J. Gomes, Distributed antenna systems for mobile communications in high speed Trains, IEEE Journal on Selected Areas in Communications, 2012, 30(4): 675-683.
D.T. Fokum, V[J].S. Frost, A survey on methods for broadband internet access on trains, IEEE Communications Surveys& Tutorials
K. Guan.[J].Z.D. Zhong, B. Ai, Assessment of LTE-R using high speed railway channel model, In: Proc. 3rd International Conference on Communications and Mobile Computing, Qingdao.2011,:-
L. Liu, C. Tao, J.H. Qiu, et al., Position-based modeling for wireless channel on high-speed railway under a viaduct at 2.35 GHz, IEEE Journal on Selected Areas in Communications, 2012, 30(4): 834-845.
Y.Q. Zhou, F. Adachi, X.D. Wang, et al., Broadband wireless communications for high speed vehicles, IEEE Journal on Selected Areas in Communications, 2012, 30(4): 673-674.
L.H. Yang, G.L. Ren, Z.L. Qiu, A novel Doppler frequency offset estimation method for DVB-T system in HST environment, IEEE Transactions on Broadcasting, 2012, 58(1): 139-143.
E.P. Simon, L. Ros, H. Hijazi, et al., Joint carrier frequency offset and channel estimation for OFDM systems via the EM algorithm in the presence of very high mobility, IEEE Transactions on Signal Processing, 2012, 60(2): 754-765.
A.G. Zajic, Estimation of mobile velocities and direction of movement in mobile-to-mobile wireless fading channels, IEEE Transactions on Vehicular Technology, 2012, 61(1): 130-139.
Y.H.R. Zheng, C.S. Xiao, Mobile speed estimation for broadband wireless communications over Rician fading channels, IEEE Transactions onWireless Communications, 2009, 8(1): 1-5.
C.H. Tepedelenlioglu, G.B. Giannakis, On velocity estimation and correlation properties of narrow-band mobile communication channels, IEEE Transactions on Vehicular Technology, 2001, 50(4): 1039-1052.
D. Tse, P. Viswanath, Fundamentals of .ireless Communication, Cambridge: Cambridge University Press, 2005.
J. Proakis, M. Salehi, Digital Communications, New York: The McGraw-Hill Companies, 2000.