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Coding Assisted Adaptive Noise Cancellation in Stochastic MIMO Wireless Channels
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 143 - Number 11 |
| Year of Publication: 2016 |
| Authors: Subhadra Das, Kandarpa Kumar Sarma |
10.5120/ijca2016910500
|
Subhadra Das, Kandarpa Kumar Sarma . Coding Assisted Adaptive Noise Cancellation in Stochastic MIMO Wireless Channels. International Journal of Computer Applications. 143, 11 ( Jun 2016), 44-48. DOI=10.5120/ijca2016910500
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
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