Abstract

Fading is a random behavior and generally modeled with statistical distributions. Fading caused by multipath propagation can degrade the bit error rate (BER) performance of a digital communication system. To mitigate fading and to have reliable communication in wireless channel error control coding along with adaptive filtering techniques are employed. In this paper, certain methods of noise cancellation in stochastic multiple-input-multiple output wireless channel using error correction coding as well as adaptive filter trained with Least Mean Square (LMS), Normalised Least Mean Square (NLMS) and Recursive Least Square (RLS) algorithm are explored. The experiments performed show satisfactory results in severely faded Nakagami-m channels for SIMO, MISO and MIMO set ups. The work intends to formulate a framework for developing certain insight into the use of error control coding and adaptive filtering to fight fading in stochastic wireless channel.

References

• B. Widrow, J. R.Glover, J. M.McCool, J. Kaunitz, C. S. Williams, R. H. Hearn, J. R. Zeidler,Eugene Dong, R. C. Goodlin: “Adaptive Noise Cancelling: Principles and Applications,” Proceedings of the IEEE, vol. 63, no. 12, Dec. 1975.
• S. Haykin,“Adaptive Filter Theory”,4th ed., Prentice-Hall, Inc.,1991.
• T. S. Rappapot, “Wireless Communication”, 2nd ed., Prentice-Hall, Inc.,2002.
• S. Haykin,"Communication Systems", 4th ed., Wiley-India Inc., 2001
• G.S.Prabhu, P.M. Shankar, “Simulation of Flat Fading Using MATLAB for Classroom Instruction”,Department of Electrical and Computer Engineering,Drexel University,3141 Chestnut Street,Philadelphia, PA 19104.
• N. Srivastava, A. Johri , M.Saxena, “Performance of Nakagami-m fading channel with equal gain combining and maximan ratio combining”, International Journal of Electronics Communication and Computer Engineering, Vol. 3, Issue 1, 2012
• H. Kaur, “Applications and Simulation of Adaptive Filter in Noise Cancellation, June 2011.
• O. B. Sik, C. Cardinal, F. Gagnon, “On the Performance of Interference Cancellation in Wireless Ad Hoc Networks,” 2010 IEEE.
• S.Catreux,P.F.Driessen,L.J.Greenstein,“Simulation results for an interference-limited multiple input multiple output cellular system,” Vol. 2 , 2000.
• M. H.Hayes, “Statistical Digital Signal Processing and Modelling”,Wiley-India.
• S.Das, K.K. Sarma, “Noise Cancellation in Stochastic Wireless Channels using Coding and Adaptive Filtering”, Communicated to International Journal of Computer Applications (IJCA).
• S. Das, K. K. Sarma, “Noise Cancellation in Stochastic Wireless Channels using Adaptive Filtering”, Proceedings of International Conference on Electronics and Communication Engineering (ICECE), pp. 23-28 Guwahati, India, Jan.14, 2012.