Modified OFDM Receiver Design with Improved Channel Capacity
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2018-12-13 https://doi.org/10.14419/ijet.v7i4.39.26717 -
OFDM, CFO, STO, LS, MMSE, Channel Capacity, Water-filling -
Abstract
High data transmission rate, reliability and spectral efficiency are necessary for developing wireless communication systems for real time seamless audio and video transmission. To find the impact of wireless channel on OFDM signal, channel estimation plays a major role. In this paper, implementation of pilot assisted channel estimation and performance analysis of the CFO and STO are investigated and estimated. Distinctive channel estimation techniques like Least Square (LS), Minimum Mean Square Error estimator (MMSE) and proposed MMSE strategies are discussed and furthermore, this paper focuses on performance juxtaposition of the channel, CFO and STO estimation with reference to Symbol error rate and Mean square error. If the mean square error is higher for low SNR sub-channels, then allocate power by using water filling algorithm to increase the channel capacity of the users.
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References
[1] E. Ahmed, W. Aziz, S. Saleem, Q. Islam, Performance Analysis of OFDM System for Different Channel Lengths and Multipath Channel Taps, Advances in Electrical Engineering Systems (AEES), Vol: 1, No. 2, 2012, pp.124-128.
[2] SC HMIDL, T. M., COX, D. C. Robust frequency and timing synchronization for OFDM. IEEE Transactions on Communications, 1997, vol. 45, no. 12, p. 1613 – 1621.
[3] MORELLI, M., MENGALI, U. An improved frequency offset estimator for OFDM applications. IEEE Communications Letters, 1999, vol. 3, no. 3, p. 75 – 77.
[4] P.V.NAGANJANEYULU, K.SATYAPRASAD, "Adaptive Channel Estimation in OFDM System Using Cyclic Prefix (Kalman Filter Approach)" written published by International Journal of Communications, Network and System Sciences, Vol.2 No.9, 2009.
[5] CHOI, J. W., LEE, J. Joint ML estimation of frame timing and carrier frequency offset for OFDM systems employing time-domain repeated preamble. IEEE Transactions on Wireless Communications, 2010, vol. 9, no. 1, p. 311 – 317.
[6] CHENG, M., CHOU, C. Maximum-likelihood estimation of frequency and time offsets in OFDM systems with multiple sets of identical data. IEEE Transactions on Signal Processing, 2006, vol. 54, no. 7, p. 2848 – 2852.
[7] Van de Beek, J.-J., Edfors, O. S., Sandell, M., Wilson, S. K., and Börjesson, O. P., “On channel estimation in OFDM systems,†45th IEEE Vehicular Technology Conference, Chicago, Il., vol. 2, pp. 815-819, July 1995.
[8] S. Saleem, Q. Islam, Performance and Complexity Comparison of Channel Estimation Algorithms for OFDM System, International Journal of Electrical & Computer Sciences IJECS-IJENS, Vol: 11 No. 02, 2011, pp. 6-12.
[9] Coleri, S., Ergen, M., Puri, A., and Bahai, A., “Channel Estimation Techniques Based on Pilot Arrangement in OFDM Systems,†IEEE Transactions on Broadcasting, vol. 48, pp. 223–229, Sept. 2002.
[10] Hou, X., Li, S., Liu, D., Yin, C., and Yue, G., “On Two-dimensional Adaptive Channel Estimation in OFDM Systems,†60th IEEE Vehicular Technology Conference, Los Angeles, Ca., vol. 1, pp. 498–502, Sept. 2004.
[11] Jang, Y.J. and Letaief, K.B. (2005), ―An efficient resorce allocation Scheme for spatial multiuser access in MIMO/OFDM systems‖, IEEE Transactions on Information Theory, Volume 53, Issue 1, Pages 107-116, January 2005.
[12] Dai , H., Molisch, A. F. and Poor, H. V. (2004), ―Downlink capacity of interference-limited MIMO systems with joint detection‖, IEEE Transactions on Wireless Communications, Volume 3, No. 2, Pages 442-453, 2004.
[13] W. Liejun,†An improved Water –filling Power allocation method in MIMO OFDM System,†Information technology journal, vol.10, pp 639-647,2011.
[14] C.Zeng. L.M.C. Hoo.J.M. Cioffi,†Effective water filling algorithms for Gaussian multi-access channel with ISI,†VTC Fall 2000, Boston, Sept. 2000.
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How to Cite
Anil Kumar, R., & K. Satya Prasad, D. (2018). Modified OFDM Receiver Design with Improved Channel Capacity. International Journal of Engineering & Technology, 7(4.39), 743-749. https://doi.org/10.14419/ijet.v7i4.39.26717Received date: 2019-01-29
Accepted date: 2019-01-29
Published date: 2018-12-13