An algorithm using channel compressed expression for estimation of fast fading channel in orthogonal frequency division multiplexing (OFDM) systems is proposed. Specifically, a compressed channel expression based on compact channel impulse response (CIR) matrix and channel kernel vector is introduced, and an equivalent channel model is derived. Both least square (LS) and linear minimum mean square error (LMMSE) estimators are formulated to estimate the channel kernel vector. The CIR matrix is reconstructed from the channel kernel vector. Simulation results show that the proposed algorithm has better estimation accuracy and lower BER as compared to some existing estimation techniques.
FANG Yong1,2, ZHAO Wei-jie1,2, WANG Min1,2
. Estimation of Fast Fading Channel for OFDM Systems Using Compressed Channel Expression[J]. Journal of Applied Sciences, 2012
, 30(6)
: 581
-587
.
DOI: 10.3969/j.issn.0255-8297.2012.06.004
[1] Kim J G, Lim J T. MAP-based channel estimation for MIMO-OFDM over fast Rayleigh fading channels [J].IEEE Transactions on Vehicular Technology, 2008,57(3): 1963-1968.
[2] Chen Y C, Su Y T. MIMO channel estimation in correlated fading environments [J]. IEEE Transactions on Wireless Communications, 2010, 9(3): 1108-1119.
[3] Al-naffouri T Y, Islam K M Z, Al-dhahir N, Lu S. A model reduction approach for OFDM channel estimation under high mobility conditions [J]. IEEE Transactions on Signal Processing, 2010, 58(4): 2181-2193.
[4] Rabbi M F, Hou S W, Ko C C. High mobility orthogonal frequency division multiple access channel estimation using basis expansion model [J]. IET Communications, 2010, 4(3): 353-367.
[5] Zhong K, Lei X, Li S Q. Wiener filter for basis expansion model based channel estimation [J]. IEEE Communications Letters, 2011, 15(8): 813-815.
[6] Hrycak T, Das S, Matz G, Feichtinger H G. Low complexity equalization for doubly selective channels modeled by a basis expansion [J]. IEEE Transactions on Signal Processing, 2010, 58(11): 5706-5719.
[7] Tugnait J K, He S C, Kim H S. Doubly selective channel estimation using exponential basis models and subblock tracking [J]. IEEE Transactions on Signal Processing, 2010, 58(3): 1275-1289.
[8] Tang Z J, Cannizzaro R C, Leus G, Banelli P. Pilot-assisted time-varying channel estimation for OFDM systems [J]. IEEE Transactions on Signal Processing, 2007, 55(5): 2226-2238.
[9] Kannu A P, Schniter P. MSE-optimal training for linear time-varying channels [C]//2005 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2005: iii/789-iii/792.
[10] Leus G. On the estimation of rapidly time-varying channels [C]//2004 European Signal Processing Conference (EUSIPCO), 2004: 2227-2230.
[11] Borah D K, Hart B D. Frequency-selective fading channel estimation with a polynomial time-varying channel model [J]. IEEE Transactions on Communications, 1999, 47(6): 862-873.
[12] 张贤达. 矩阵分析与应用[M]. 北京：清华大学出版社，2004: 101-113, 106-107.
