A Comprehensive Review on Channel Estimation in OFDM System

Authors

  • Neha Dubey M.Tech Scholar, Department of Electronics and Communication Engineering Rabindranath Tagore University, Bhopal,M.P, India
  • Ankit Pandit Assistant Professor, Department of Department of Electronics and Communication Engineering Rabindranath Tagore University, Bhopal, India

DOI:

https://doi.org/10.24113/ijoscience.v5i3.201

Abstract

In wireless communication, orthogonal frequency division multiplexing (OFDM) plays a major role because of its high transmission rate. Channel estimation and tracking have many different techniques available in OFDM systems. Among them, the most important techniques are least square (LS) and minimum mean square error (MMSE). In least square channel estimation method, the process is simple but the major drawback is it has very high mean square error. Whereas, the performance of MMSE is superior to LS in low SNR, its main problem is it has high computational complexity. If the error is reduced to a very low value, then an exact signal will be received. In this paper an extensive review on different channel estimation methods used in MIMO-OFDM like pilot based, least square (LS) and minimum mean square error method (MMSE) and least minimum mean square error (LMMSE) methods and also other channel estimation methods used in MIMO-OFDM are discussed.

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References

[1] Cimini LJ, “Analysis and simulation of digital mobile channel using orthogonal frequency multiplex”, IEEE Trans Commun, Vol 33, pp. 665–675, 1985.
[2] Cho YS, Kim J, Yang WY, Kang CG, “MIMO-OFDM wireless communications with MATLAB”, Wiley, New York, 2010.
[3] Jeremic A, Thomas TA, “OFDM channel estimation in presence of interference”, IEEE Trans Signal Proc, Vol. 52, Issue 10, pp. 3429–3439, 2004.
[4] King F. Lee and Douglas B. Williams, "Pilot Symbol-Assisted Channel Estimation for Space Time Coded OFDM Systems", EURASIP Journal on Applied Signal Processing, Vol. 2002, pp. 507-516, 2002.
[5] Aleksandar Jeremic, Timothy A. Thomas and Arye Nehorai, "OFDM Channel Estimation in the Presence of Interference", IEEE Transactions on Signal Processing, Vol. 52, No. 12, pp. 3429-3439, Dec 2004.
[6] Yonghong Zeng, A. Rahim Leyman and Tung Sang, "Joint Semiblind Frequency Offset and Channel Estimation for Multiuser MIMO-OFDM Uplink", IEEE Transactions on Communications, Vol. 55, No. 12, pp. 1-9, Dec 2007.
[7] Carlos Ribeiro and Atílio Gameiro, "An OFDM Symbol Design for Reduced Complexity MMSE Channel Estimation", Journal of Communications, Vol. 3, No. 4, pp. 26-33, Sep 2008.
[8] Shahram Shahbazpanahi, 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.
[9] Feifei Gao 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.
[10] Feifei Gao, Yonghong Zeng, Arumugam Nallanathan, 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.
[11] Berna Ozbek and Reyat Yilmaz, "The Adaptive Channel Estimation for STBC-OFDM Systems", Journal of Electrical & Electronics Engineering Vol. 5, No. 1, pp. 1333-1340, 2005.
[12] Md. Masud Rana 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.
[13] Xiaowen Wang and K. J. Ray Liu, "An Adaptive Channel Estimation Algorithm Using Time-Frequency Polynomial Model for OFDM with Fading Multipath Channels", EURASIP Journal on Applied Signal Processing, Vol. 8, pp. 818–830, 2002.
[14] Maja Loncar, Ralf R. Muller, Joachim Wehinger, Christoph F. Mecklenbrauker and Tetsushi Abe, "Iterative channel estimation and data detection in frequency-selective fading MIMO channels", European Transactions on Telecommunications, Vol. 15, pp. 459-470, 2004.
[15] Mehrzad Biguesh and Alex B. Gershman, "Training-Based 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.
[16] M.Raju and K. Ashoka Reddy, “Mean Square Error Analysis in MIMO-OFDM System using Pilot based Channel Estimation”, IEEE, 2017.
[17] Pham Hong Lien, Nguyen Due Quang and Luu Thanh Tra, “Extended Kalman Filter for Channel and Carrier Frequency Offset Estimation”, IEEE, 2017.
[18] Hao Wu, Yuan Liu, and Kai Wang, "Analysis of DFT-Based Channel Estimation for Uplink Massive MIMO Systems”, IEEE communications letters, Vol. 22, No. 2, February 2018.

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Published

2019-03-28

How to Cite

Dubey, N., & Pandit, A. (2019). A Comprehensive Review on Channel Estimation in OFDM System. SMART MOVES JOURNAL IJOSCIENCE, 5(3), 1-7. https://doi.org/10.24113/ijoscience.v5i3.201