Author : Arpitha K K 1
Date of Publication :7th May 2016
Abstract: Multiple Input Multiple Output-Orthogonal Frequency Division Multiplexing (MIMO-OFDM) systems play a vital role in the channel estimation. The wireless channel suffers from impairments like fading and interference. Technologies that achieved above requirements are Multiple Input Multiple Output (MIMO) and Orthogonal Frequency Division Multiplexing (OFDM). Channel impairments must be mitigated at the receiver by using channel estimation techniques. In this paper, BER performance improvements of MIMO-OFDM systems using different techniques such as Least Square (LS), Minimum mean square error (MMSE) are implemented and compared. Work is carried out in Mat lab under fading channels.
Reference :
-
[1] King F. Lee and Douglas B. Williams, "PilotSymbolAssisted Channel Estimation for Space Time Coded OFDM Systems", EURASIP Journal on Applied Signal Processing, Vol. 2002, pp. 507-516, 2002.
[2] AleksandarJeremic, Timothy A. Thomas and AryeNehorai, "OFDM Channel Estimation in the Presence of Interference", IEEE Transactions on Signal Processing, Vol. 52, No. 12, pp. 3429-3439, Dec 2004.
[3] YonghongZeng, A. Rahim Leyman and TungSang Ng, "Joint Semiblind Frequency Offset and Channel Estimation for Multiuser MIMO-OFDMUplink", IEEE Transactions on Communications, Vol. 55, No. 12, pp. 1-9, Dec 2007.
[4] Carlos Ribeiro and AtílioGameiro, "An OFDM Symbol Design for Reduced Complexity MMSE Channel Estimation", Journal of Communications, Vol. 3, No. 4, pp. 26-33, Sep 2008.
[5] ShahramShahbazpanahi, Alex B. Gershman and Georgios B. Giannakis, "Semiblind Multiuser MIMO Channel Estimation using Capon and MUSIC Techniques", IEEE Transactions on Signal Processing, Vol. 54, No. 9, pp. 3581-3591, Sep 2006.
[6] FeifeiGao and A. Nallanathan, "Blind Channel Estimation for MIMO OFDM Systems via Nonredundant Linear Precoding", IEEE Transactions on Signal Processing, Vol. 55, No. 2, pp. 784-789,Feb 2007.
[7] FeifeiGao, YonghongZeng, ArumugamNallanathan, and Tung-Sang Ng, "Robust Subspace Blind Channel Estimation for Cyclic Prefixed MIMO OFDM Systems: Algorithm, Identifiability and Performance Analysis", IEEE Journal on Selected Areas in Communications, Vol. 26, No. 2, pp.378-388, Feb 2008.
[8] BernaOzbek and ReyatYilmaz, "The Adaptive Channel Estimation for STBC-OFDM Systems", Journal of Electrical & Electronics Engineering Vol. 5, No. 1, pp. 1333-1340, 2005.
[9] Md. MasudRana and Md. Kamal Hosain "Adaptive Channel Estimation Techniques for MIMO OFDM Systems", International Journal of Advanced Computer Science and Applications, Vol. 1, No. 6, pp. 134-138, Dec 2010.
[10] Xiaowen Wang and K. J. Ray Liu, "An Adaptive Channel Estimation Algorithm Using TimeFrequencyPolynomial Model for OFDM with Fading Multipath Channels", EURASIP Journal on Applied Signal Processing, Vol. 8, pp. 818–830, 2002.
[11] MajaLoncar, Ralf R. Muller, Joachim Wehinger, Christoph F. Mecklenbrauker and Tetsushi Abe, "Iterative channel estimation and data detection infrequencyselective fading MIMO channels", European Transactions on Telecommunications, Vol. 15, pp. 459- 470, 2004.
[12] MehrzadBiguesh and Alex B. Gershman,"TrainingBased MIMO Channel Estimation: A Study of Estimator Tradeoffs and Optimal Training Signals", IEEE Transactions on Signal Processing, Vol. 54, No. 3, pp. 884- 893, March 2006.
[13] Ye (Geoffrey) Li, "Simplified Channel Estimation for OFDM Systems with Multiple Transmit Antennas", IEEE Transactions on Wireless Communications, Vol. 1, No. 1, pp. 67-75, Jan 2002.
[14] HlaingMinn, Dong In Kim and Vijay K. Bhargava, "A Reduced Complexity Channel Estimation for OFDM Systems With Transmit Diversity in Mobile Wireless Channels", IEEE Transactions on Communications, May 2002.