Use of adaptive filtering for noise reduction in communications systems

摘要

This article deals with noise reduction in modern communication systems. Primarily it focuses on cases where conventional filtering techniques based on linear filtering fail. It is modern based approach to adaptive filtering. The article presents a comprehensive hardware and software solutions to the adaptive system using the two main leaders of adaptive LMS (least mean square) and RLS (recursive least squares) algorithms. Adaptive system for noise reduction in radio (mobile) communication is designed in Matlab. This system has its practical use in communication especially in noisy environments (transport, factories, sporting events, etc.).