Channel Estimation Techniques for MIMO-OFDM Systems over Frequency Selective Fading Channels
DOI:
https://doi.org/10.18100/ijamec.270714Keywords:
MIMO-OFDM, pilot based, semi-blind, channel estimation, ICAAbstract
Wireless channel is very complex because of both frequency and time selectivity. In order to overcome the adverse effects of multipath fading in mobile communication channels, channel estimation must be performed. There are three kinds of channel estimation methods: pilot based, blind and semi-blind. In pilot based channel estimation, some of data symbols are used to estimate channel. In blind channel estimation statistical properties of channel are used. In semi-blind channel estimation information from both data symbols and statistical properties is utilized. In this study, pilot based and semi-blind channel estimation are used to estimate the channels with various frequency selectivity in multiple input multiple output-orthogonal frequency division multiplexing (MIMO-OFDM) systems. Semi-blind channel estimation is done by using independent component analysis (ICA). Simulation results show that if the frequency selectivity of the channel is high, semi-blind channel estimation technique can be used instead of pilot based channel estimation. Thus with a using a small number of pilot bits, more data can be used in the MIMO systems.Downloads
References
Foschini G. J., Gans M. J. On Limits of Wireless Communications in Fading Environment When Using Multiple Antennas, Wireless Pers. Commun, 6, 1998, pp. 311-335.
Telatar E. Capacity of Multi Antenna Gaussian Channels, AT&T Bell Labs S, 1995.
Foschini G. J. Layered Space-Time Architecture for Wireless Communication in a Fading Environment When Using Multi-element Antennas, Bell Labs Technical Journal, Vol.1, Number. 2, 1996, pp. 41–59.
Wan F., Zhu W.-P., Swamy M. N. S. A Semiblind Channel Estimation Approach for MIMO-OFDM Systems, IEEE Transactions On Signal Processing, Vol.56 Number.7, 2008, pp. 2821-2834.
Engiz B. K., Kurnaz Ç., Sezgin H. Approach for Determining the Optimum Pilot Placement in Orthogonal Frequency Division Multiplexing Systems, IET Communications, Vol.9 Number.15, 2015, pp. 1915-1923.
Xu C., Li H., Chang S. Semi-blind MIMO-OFDM Channel Estimation Based on ICA and Pilot Carriers, 2011 IEEE International Conference on Signal Processing, 14-16 Sept. 2011.
Haiyuan, L., Jiancheng, S., Blind MIMO-OFDM Channel Estimation Based on ICA and KRLS Algorithm, 5th International Conference on Wireless Communications, Networking and Mobile Computing, pp. 1-5, 2009.
Edfors O., Sandell M., van de Beek J. -J., Wilson S. K., Ola Borjesson P. OFDM Channel Estimation by Singular Value Decomposition, 1996, pp.923-927.
Zaier, A., Bouallegue R., Blind Channel Estimation Enhancement for Mimo-OFDM Systems under High Mobility Conditions, International Journal of Wireless & Mobile Networks (IJWMN), Vol. 4, Number. 1, 2012.
Ercan S. Ü., Kurnaz Ç. Investigation of Blind and Pilot Based Channel Estimation Performances in MIMO-OFDM Systems, IEEE 23th Signal Processing and Communications Applications Conference, 16-19 May 2015, Malatya, Turkey.
Patil S. M., Jadhav A. N. Channel Estimaiton Using LS and MMSE Estimators. International Journal on Recent and Innovation Trends in Computing and Communication Vol.2, Issue. 3, 2014, pp. 566-570.
Kewen L., XinKe. Research of MMSE and LS channel estimation in OFDM systems, The 2nd International Conference on Information Science and Engineering, 2010, pp. 2308-2311.
Hyvärinen A., Oja, E.. Independent Component Analysis: Algorithms and Application, Neural Networks, 13 (4-5): 2000, pp. 411-430.
Hyvarinen A., Karhunen J., and Oja E. Independent Component Analysis, Wiley-Interscience, 2001..
Meyer C. D. Matrix Analysis and Applied Linear Algebra. 2000, Cambridge, UK.
Naik, G.R., Kumar, D.K., An Overwiew of Independent Component Analysis and its Application. Informatica, 35, 2011, pp. 63-81.
Downloads
Published
Issue
Section
License
Copyright (c) 2016 International Journal of Applied Methods in Electronics and Computers
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
