Adaptive Infinite Impulse Response (IIR) Filter

Kasturi, Permalu (2005) Adaptive Infinite Impulse Response (IIR) Filter. Project Report. UTeM, Melaka, Malaysia. (Submitted)

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Abstract

This paper presents an implementation of Infinite Impulse Response (IIR) Least Mean Squares (LMS) algorithm. The purpose of this project is to design a program to prove that by using the IIR-LMS algorithm will eliminate/reduce the Inter-Symbol Interference (lSI) problem. The principal cause of lSI is delay distortion. Because the individual frequency components propagate at different speeds over the transmission media, they become dispersed, causing changes in amplitude and phase that produce pulse distortion. Meanwhile, the learning algorithm of the adaptive IIR filter is used to adjust the feedback and feed forward coefficients for a particular input and output to optimize a performance criterion that generates a suitable estimate based on a desired response. The convergence of the LMS algorithm depends on the choice of the step-size values for the filter coefficients. The implementation of the IIR-LMS algorithm had minimized the mean-squared error. It is achieved to reduce the lSI problem in the system through simulation results which implicated the LMS algorithm.

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