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Adaptive filtering algorithms for channel equalization and echo cancellationKeywords: e filtering algorithms Abstract: In this paper, we will be addressing the major concerns in telecommunication nowadays which are channel equalization and echo cancellation using different adaptive algorithms in order to identify the most efficient methodology. There are a number of conventional algorithms available in literature and every algorithm has its own properties, however the aim of every adaptive algorithm is to achieve minimum mean square error at a high rate of convergence and with less complexity. The experimental results prove that Least Mean Square algorithm (LMS) is the best for channel equalization and Recursive Least Square (RLS) is most efficient for echo cancellation. Moreover, LMS algorithms work efficiently in case of stochastic processes and on the contrary RLS is good for deterministic signals
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