Journal of Current Trends in Electrical Engineering ISSN: 3107-4375 (Online)

Authors:-Subhadra Das

Abstract:-Fading is major impairment of the wireless communication which along with other phenomenon gives rise to noise in the channel. Adaptive filters are useful in noise cancellation applications because of the fact that they can track the variations in the input signal compared to a given reference signal. In this paper, we explore a method of noise cancellation using an adaptive filter trained with Least Mean Square (LMS), Normalised Least Mean Square (NLMS) and Recursive Least Square (RLS) algorithms to extract the transmitted signal through a severely faded stochastic channel. The proposed systems gives satisfactory results in a severely faded Rayleigh channel in SISO, SIMO, MISO and MIMO set-ups. The work shows a depiction of the approach and formulates a framework for developing certain insight into the use of adaptive filtering to fight fading in wireless channel.