BER Comparison of Rayleigh Fading, Rician Fading and AWGN Channel using Chaotic Communication Based MIMO-OFDM System
Suchita Varade1, Kishore Kulat2 

1Suchita .W. Varade, Department of Electronics and Telecommunication Engineering, Priyadarshini college of engineering, Nagpur, India.
2K. D. Kulat, Department of Electronics Engineering, Vishaveshashwaraya National Institute of Technology, Nagpur, India.
Manuscript received on November 27, 2011. | Revised Manuscript received on December 15, 2011. | Manuscript published on January 05, 2012. | PP: 107-115 | Volume-1 Issue-6, January 2012. | Retrieval Number: F0278111511/2012©BEIESP
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© The Authors. Published By: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: This paper proposes, a technique which uses chaotic communication system combined with adaptive beamforming, for secure communications and to improve the system performance by mitigating interference. For secure communications, chaotic sequences are used. Many chaotic communication systems have been proposed, but most of them show a poor performance under realistic channel conditions (i.e. noise and multipath fading).This paper proposes a wireless communication structure based on two coupled chaotic systems. In order to enhance the error-rate performance of MIMO-OFDM system, adaptive beamforming is used. Evaluation and comparison of the performances of MIMO- OFDM system in the AWGN (Additive White Gaussian Noise) channel, Rician fading channel and the Rayleigh fading channel are provided. Results are verified and analyzed for two cases, one when adaptive beamforming is used in the proposed system and second when adaptive beamforming is not used in the proposed system. Computer simulations are done to verify the performance of the proposed approach. A simulation tool with a Graphical User Interface (GUI) which implements these algorithms is also developed to provide ease in the execution.
Keywords: Chaotic Communication System, Adaptive Beamforming, LMS (Least Mean Squares), LMS-LMS (LLMS).