Implementation of Adaptive Channel Estimation and CIR Sup-port Based on Pilot Arrangement and Adaptive Filtering in MIMO-OFDM Systems
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https://doi.org/10.14419/ijet.v7i1.8.22964 -
Abstract
OFDM is a promising Technique for achieving high data rates in mobile environment because of its multicarrier modulation technique and ability to convert a frequency selective fading channel into several nearly flat fading channels. The channel estimation techniques for OFDM systems based on pilot arrangement are investigated. The channel estimation based on comb type pilot arrangement is studied through different algorithms for both estimating channel at pilot frequencies and interpolating the channel. In this paper, we initially studied the channel estimation approaches that mainly concentrate on the pilot sequences that have the ability of inserting channel efficiently avoiding interference and maintain orthogonality for OFDM system. However to extend the work, we investigated different adaptive channel schemes namely LMS, RLS and fast RLS. To evaluate the performance of this techniques, the simulations are carried out under Rayleigh channel
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References
[1] Ghassan M. T. Abdalla, “Orthogonal Frequency Division Multiplexing Theory and Challengesâ€, UofKEJ, Vol. 1, Issue 2, pp. 1-8, (October 2011).
[2] He Zhongqiu, Xing Yanan “Pilot aided channel estimation of MIMO-OFDM systemâ€, Vehicular Technology Conference (VTC Spring), 2013 IEEE Xplore: 06 January 2014
[3] M. Hsieh and C. Wei, “Channel estimation for OFDM systems based on comb-type pilot arrangement in frequency selective fading channels†in IEEE Transactions on Consumer Electronics, vol. 44, no.1, February 1998
[4] R. Steele, Mobile Radio Communications, London, England, Pentech Press Limited, 1992
[5] U. Reimers, “Digital video broadcasting,†IEEE Communications Magazine, vol. 36, no. 6, pp. 104-110, June 1998.
[6] L. J. Cimini, Jr., “Analysis and simulation of a digital mobile channel using orthogonal frequency division multiplexing,†IEEE Trans. Commun., vol.33, no. 7, pp. 665-675, July 1985.
[7] Y. Zhao and A. Huang, “A novel channel estimation method for OFDM Mobile Communications Systems based on pilot signals and transform domain processingâ€, in Proc. IEEE 47th Vehicular Technology Conference, Phoenix, USA, May 1997, pp. 2089-2093
[8] A. V. Oppenheim and R. W. Schafer, Discrete-Time Signal Processing, New Jersey, Prentice-Hall Inc., 1999
[9] Tan Yun*, Xu Wenbo, He Zhiqiang, “MIMO-OFDM Channel Estimation Based on Distributed Compressed Sensing and Kalman Filterâ€, Signal Processing, Communications and Computing (ICSPCC), 2011 IEEE International Conference, IEEE Xplore: 27 October 2011.
[10] Zheng Xiang Zhou Zhi-Jie Zhang Wen-Qiang "An Adaptive Channel Tracking Algorithm Combined LMS and KALMAN, Filter"2008 IEEE.
[11] Navid daryasafar and Babak ehyaee, “Evaluation of Channel Estimation Algorithms in MIMO OFDM Systems with Considering the Carrier Frequency Offsetâ€, IJSCT, Volume 3, Issue 5, May 2012.
[12] Scott C. Douglas, Markus Rupp, “Convergence Issues in the LMS Adaptive Filter†article.
[13] S.Uma maheshwar (2015). “Limited Feedback Block Diagonalization in Multiuser MIMO Downlink Channelsâ€, International Journal of Applied Engineering Research (IJAER), Volume-Issue: 10-70, Page Nos: 226-231, PISSN: 0973-4562.
[14] S.Uma maheshwar (2017). “Performance Analysis of K-Best Sphere Decoder Algorithm for Spatial Multiplexing MIMO Systems†International Journal of Pure and Applied Mathematics (IJPAM), JUL, 2017, Volume-Issue: 114-10, Page Nos: 097-106, PISSN: 1311-8080.
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How to Cite
Srinivas, S., Chandraprakash, T., & sunder, M. (2018). Implementation of Adaptive Channel Estimation and CIR Sup-port Based on Pilot Arrangement and Adaptive Filtering in MIMO-OFDM Systems. International Journal of Engineering & Technology, 7(1.8), 236-239. https://doi.org/10.14419/ijet.v7i1.8.22964Received date: 2018-12-02
Accepted date: 2018-12-02