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Low-Complexity Channel Estimation Algorithm for MIMO-OFDM Systems
Abstract:One of the main challenges in MIMO-OFDM system to achieve the expected performances in terms of data rate and robustness against multi-path fading channels is the channel estimation. Several methods were proposed in the literature based on either least square (LS) or minimum mean squared error (MMSE) estimators. These methods present high implementation complexity as they require the inversion of large matrices. In order to overcome this problem and to reduce the complexity, this paper presents a solution that benefits from the use of the STBC encoder and transforms the channel estimation process into a set of simple linear operations. The proposed method is evaluated via simulation in AWGN-Rayleigh fading channel. Simulation results show a maximum reduction of 6.85% of the bit error rate (BER) compared to the one obtained with the ideal case where the receiver has a perfect knowledge of the channel.
Digital Object Identifier (DOI): doi.org/10.5281/zenodo.2571902Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 215
 A. Osseiran, F. Boccardi, B. Volker, and others, “Scenarios for 5G mobile and wireless communications: the vision of the METIS project,” IEEE Communications Magazine. vol. 52, pp. 26–35,2014.
 D. Gesbert, M. Shafi, and others, “From theory to practice: An overview of MIMO space-time coded wireless systems,” IEEE Journal on selected areas in Communications. vol. 21, pp. 281–302,2003.
 C. Shin, R. Heath, and E. Powers, “Blind channel estimation for MIMO-OFDM systems,” IEEE Transactions on Vehicular Technology. vol. 56, pp. 670–685,2007.
 YS. Cho, J. Kim, WY.Yang and CG. Kang, “MIMO-OFDM wireless communications with MATLAB,” John Wiley & Sons,2010.
 H. Kaur, M. Khosla, and R. Sarin, “Channel Estimation in MIMO-OFDM System: A Review,” 2018 Second International Conference on Electronics, Communication and Aerospace Technology (ICECA), pp. 974–980,2018.
 R. Hidayat, AF.Isnawati, F. Anggun and B. Setiyanto, “Channel estimation in MIMO-OFDM spatial multiplexing using Least Square method,” Intelligent Signal Processing and Communications Systems (ISPACS), 2011 International Symposium on, IEEE, pp. 1–5,2011.
 E. Larsson and P. Stoica, “Space-time block coding for wireless communications,” Cambridge university press, 2008.
 U. Jha and R. Prasad, “OFDM towards fixed and mobile broadband wireless access,” Artech House, Inc., 2007.
 A. Beydoun, H. Alaeddine and others, “New fast time synchronization method for MIMO-OFDM systems,” 11th IFIP Wireless and Mobile Networking Conference (WMNC), IEEE, 2018.
 P. Fan and M. Darnell, “Sequence design for communications applications,” Research Studies Press, 1996.
 A. Shokair, A. Beydoun, D.G. Pham and C. Jabbour, “Wide band digital predistortion using iterative feedback decomposition,”Analog Integrated Circuits and Signal Processing, pp. 1–16, 2018.
 B. OHara and A. Petrick, “The IEEE 802.11 Handbook: A Designers Companion,” Standards Information Network IEEE Press, 2005.