Assisted Channel Estimation with Dynamic Allocation Pilot Subcarriers for OFDM Communications

Boudali Ouarzazi, Atika Menhaj-Rivenq, Iyad Dayoub, Marion Berbineau

IEMN, Department OAE, UVHC, Valenciennes, France.
Université Lille Nord de France, Villeneuve d’Ascq, France.

DOI: 10.4236/wet.2013.44023                

Abstract

In this paper, a transmission system based on OFDM (Orthogonal Frequency Division Multiplexing) technique and channel estimation is proposed. The idea is to enhance the assisted channel estimation without data rate loss. A solution based on frequency diversity is proposed. With the same number of pilots, the global system performances are better for higher mobility speed. The main results will be presented in the case of high mobility context.

Keywords

Doppler Effect; Channel Estimation; OFDM; Rayleigh Channel; BEM; Mobility

Conflicts of Interest

The authors declare no conflicts of interest.

References

[1]	L. Hanzo, M. Munster, B. Choi and T. Keller, “OFDM and MCCDMA for Broadband Multi-User Communications, WLANs and Broadcasting,” John Wiley and Sons, Hoboken, 2003. http://dx.doi.org/10.1002/9780470861813
[2]	I. Bradaric and A. P. Petropulu, “Performance of Training-Based OFDM Systems in the Presence of Time Varying Frequency Selective Channels,” IEEE International Conference on Acoustics, Speech, and Signal Processing, Vol. 4, No. 29, 2004, pp. 737-740.
[3]	X. Cai and A. N. Akansu, “A Subspace Method for Blind Channel Identification in OFDM Systems,” IEEE International Conference on Communications, New Orleans, 18-22 June 2000, pp. 929-933.
[4]	M. de Courville, “Utilisation de Bases Orthogonales pour l’Algorithmique Adaptative et l’égalisation des Systèmes Multiporteuses,” Ph.D. Thesis, école Nationale Supérieure de Télé-communications, Rennes, 1996.
[5]	R. W. Heath and G. B. Giannakis, “Blind Channel IdentiFication for Multirate Precoding and OFDM Systems,” Proceedings of 13th International Conference on Digital Signal Processing, Santorini, 2-4 July 1997, pp. 383-386. http://dx.doi.org/10.1109/ICDSP.1997.628115
[6]	T. Yamamura and H. Harada, “High Mobility OFDM Transmission System by a New Channel Estimation and ISI Cancellation Scheme Using Characteristics of Pilot Symbol Inserted OFDM Signal,” Proceedings of IEEE 50th Vehicular Technology Conference, Amsterdam, 19-22 September 1999, pp. 319-323.
[7]	Z. Tang, G. Leus, R. C. Cannizzaro and P. Banelli, “Pilot Assisted Time-Varying OFDM Channel Estimation,” IEEE Transactions on Signal Processing, Vol. 55, No. 5, 2006, pp. 2226-2238. http://dx.doi.org/10.1109/TSP.2007.893198
[8]	T. Tian, D. Gang and J. Jun, “Estimation of Time Varying Channels for Pilot Assisted OFDM Systems,” Journal of China Universities of Posts and Telecommunications, Vol. 14, No. 2, 2007, pp. 94-99. http://dx.doi.org/10.1016/S1005-8885(07)60133-2
[9]	R. C. Cannizzaro, P. Banelli and G. Leus, “Adaptive Channel Estimation for OFDM Systems with Doppler spread,” Proceedings of IEEE Conference on Signal Processing Advances in Wireless Communications, Cannes, 2-5 July 2006, pp. 1-5.
[10]	S. Sezginer and Y. El Hajj Shehadeh, “An Iterative Channel Estimator for Fast-Varying Channels Using Successive OFDM Symbols,” IEEE 20th International Symposium on Personal, Indoor and Mobile Radio Communications, Tokyo, 13-16 September 2009, pp. 2404-2408.
[11]	R. H. Clarke, “A Statistical Theory of Mobile Radio Reception,” Bell System Technical Journal, Vol. 47, No. 6, 1968, pp. 957-1000. http://dx.doi.org/10.1002/j.1538-7305.1968.tb00069.x
[12]	W. C. Jakes, “Microwave Mobile Communications,” 2nd Edition, Wiley-IEEE Press, 1994. http://dx.doi.org/10.1109/9780470545287
[13]	M. F. Pop and N. C. Beaulieu, “Limitations of Sum-of Sinusoids Fading Channel Simulators,” IEEE Transactions on Communications, Vol. 49, No. 4, 2001, pp. 699708. http://dx.doi.org/10.1109/26.917776
[14]	P. Dent, G. E. Bottomley and T. Croft, “Jakes Fading Model Revisited,” IEEE Electronics Letters, Vol. 29, No. 13, 1993, pp. 1162-1163. http://dx.doi.org/10.1049/el:19930777
[15]	S. A. Fechtel, “A Novel Approach to Modeling and Efficient Simulation of Frequency-Selective Fading Radio Channels,” IEEE Journal on Selected Areas in Communications, Vol. 11, No. 3, 1993, pp. 422-431. http://dx.doi.org/10.1109/49.219555
[16]	C. Xiao, Y. R. Zheng and N. C. Beaulieu, “Novel Sum-of Sinusoids Simulation Models for Rayleigh and Rician Fading Channels,” IEEE Transactions on Wireless Communications, Vol. 5, No. 12, 2006, pp. 3667-3679. http://dx.doi.org/10.1109/TWC.2006.256990
[17]	P. Banelli, R. Cannizzaro and L. Rugini, “Data Aided Kalman Tracking for Channel Estimation in Doppler Affected OFDM Systems,” Proceedings of IEEE International Conference on Acoustics, Speech and Signal Processing, Honolulu, 15-20 April 2007, pp. 133-136.
[18]	H. Senol, H. Cirpan and E. Panayirci, “A Low Complexity KL Expansion Based Channel Estimator for OFDM Systems,” EURASIP Journal on Wireless Communications and Networking, Vol. 2005, No. 2, 2005, pp. 136-174.
[19]	Z. Tang, G. Leus and P. Banelli, “Pilot-Assisted TimeVarying OFDM Channel Estimation Based on Multiple OFDM Symbols,” Proceedings of IEEE 7th Workshop on Signal Processing Advances in Wireless Communications, Cannes, 2-5 July 2006, pp. 1-5.
[20]	S. Tomasin, A. Gorokhov, H. Yang and J. P. Linnartz, “Iterative Interference Cancellation and Channel Estimation for Mobile OFDM,” IEEE Transactions on Wireless Communications, Vol. 4, No. 1, 2005, pp. 238-245. http://dx.doi.org/10.1109/TWC.2004.840194
[21]	B. Yang, K. Letaief, R. Cheng and Z. Cao, “Channel Estimation for OFDM Transmission in Multipath Fading Channels Based on Parametric Channel Modeling,” IEEE Transactions on Communications, Vol. 49, No. 3, 2001, pp. 467-479. http://dx.doi.org/10.1109/26.911454
[22]	G. B. Giannakis and C. Tepedelenlioglu, “Basis Expansion Models and Diversity Techniques for Blind Identification and Equalization of Time-Varying Channels,” Proceedings of the IEEE, Vol. 86, No. 10. 1998, pp. 19691986. http://dx.doi.org/10.1109/5.720248
[23]	T. Whitworth, M. Ghogho and D. McLernon, “Optimized Training and Basis Expansion Model Parameters for Doubly-Selective Channel Estimation,” IEEE Transactions on Wireless Communications, Vol. 8, No. 3, 2009, pp. 1490-1498. http://dx.doi.org/10.1109/TWC.2009.080364
[24]	T. Zemen and C. F. Mecklenbrauker, “Time-Variant Channel Estimation Using Discrete Prolate Spheroidal Sequences,” IEEE Transactions on Signal Processing, Vol. 53, No. 9, 2005, pp. 3597-3607. http://dx.doi.org/10.1109/TSP.2005.853104
[25]	H. Hijazi and L. Ros, “OFDM High Speed Channel Complexgains Estimation Using Kalman Filter and QR-Detector,” IIEEE International Symposium on Wireless Communication Systems, Reykjavik, 21-24 October 2008, pp. 26-30.
[26]	H. Hijazi and L. Ros, “Joint Data QR-Detection and Kalman Estimation for OFDM Time-Varying Rayleigh Channel Complex Gains,” IEEE Transactions on Communications, Vol. 58, No. 1, 2010, pp. 170-178. http://dx.doi.org/10.1109/TCOMM.2010.01.080296
[27]	W.-G. Song and J.-T. Lim, “Pilot-Symbol Aided Channel Estimation for OFDM with Fast Fading Channels,” IEEE Transactions on Broadcasting, Vol. 49, No. 4, 2003, pp. 398-402. http://dx.doi.org/10.1109/TBC.2003.819049
[28]	W.-G. Song and J.-T. Lim, “Channel Estimation and Signal Detection for MIMO-OFDM with Time Varying Channels,” IEEE Communications Letters, Vol. 10, No. 7, 2006, pp. 540-542.