Exigency of Channel Estimation in an OFDM System A Simulation Based Study

Yıl 2017, Cilt: 2 Sayı: 3, 137 - 144, 30.12.2017

Ayfer Babaoğlu , Selva Muratoğlu Çürük

https://doi.org/10.30931/jetas.315972

Öz

The popular multicarrier modulation technique, Orthogonal Frequency Division Multiplexing (OFDM), is used for high rate wireless communication systems, as well as for other inexplicit multipath channel applications, such as powerline and underwater communications. Final performance of an OFDM system depends highly on the channel because variations in the characteristics of the channel result with a degradation in the performance. In this study, a modular OFDM system which is modeled using Matlab/Simulink program is given. The proposed model is used for performance evaluation. The variations in the performance of the OFDM system are analyzed by investigating the Bit Error Rate (BER). A comparison is made for two modulation schemes, namely phase-shift keying (M-PSK) and quadrature amplitude modulation (M-QAM), under the additive white Gaussian noise assumption. It has been shown that for a safe communication on a heavy Rayleigh channel especially, channel estimation is a necessity.

Anahtar Kelimeler

Channel Estimation, Matlab, Orthogonal Frequency Division Multiplexing, , Simulink

Kaynakça

• [1] Patel, Jigisha N. and Upena D. Dalal. “A Comparative Performance Analysis of OFDM using MATLAB Simulation with M-PSK and M-QAM Mapping,” International Conference on Computational Intelligence and Multimedia Applications, Sivakasi, Tamil Nadu, India, December 13-15, 2007.
• [2] Zhang, Jun and Zhongpei Zhang, “Simulation and Analysis of OFDM System Based on Simulink,” International Conference on Communications, Circuits and Systems, International Conference Center, UESTC, Chengdu, China, July 28-30, 2010.
• [3] T. P., Surekha, T. Ananthapadmanabha and C. Puttamadappa, “Modeling and Performance Analysis of QAM-OFDM System with AWGN Channel”, Third Pacific-Asia Conference on Circuits, Communications and System, Wuhan, China, July 17-18, 2011.
• [4] Pokle, S. B. and K. D. Kulat Fiete, “ MATLAB Simulation of a Wireless Communication System using OFDM Principle”, IETE Technical Review, 23:3 (2006), 187-198. (Published online: 26 Nov 2015)
• [5] Mahor, Devesh and Kamlesh Kumar Yadav, “Investigating Mapping Technique Over Statistical Parameter under Noisy Channel for Wireless Communication”, 5th International Conference on Confluence - The Next Generation Information Technology Summit, Noida, India, Sept.25-26, 2014.
• [6] Ogale, Archana, Shubhangi Chaoudhary and A. J. Patil, “Performance Evaluation of MIMO-OFDM System using Matlab / Simulink With Real Time Image Input”, 10th IEEE and IFIP International Conference on Wireless and Optical Communications Networks, Bhopal, India, July 26-28, 2013.
• [7] Qiang Li, Tong and Li Gang Xu, “Study and Simulation Analysis of OFDM System Based on Simulink”, 3rd International Conference on Mechatronics and Intelligent Materials: Advanced Materials Research, 706:708 (2013) 1967-1970.
• [8] http://www.mathworks.com/help/simulink/, The Matlab Simulink website.
• [9] Khlifi, Abdelhakim and Ridha Bouallegue, “Performance Analysis of LS and LMMSE Channel Estimation Techniques for LTE Downlink Systems”, International Journal of Wireless & Mobile Networks: Networking and Internet Architecture, 3: 5 (2011), 141-149. (Published online: 7 Nov 2011)
• [10] Zettas, Spiridon, Pavlos. I. Lazaridis and Zaharias D. Zaharis, et al. “Performance Comparison of LS, LMMSE and Adaptive Averaging Channel Estimation (AACE) for DVB-T2”, 10th IEEE International Symposium on Broadband Multimedia Systems and Broadcasting, Ghent, Belgium, June 17-19, 2015.