Analysis of Low Power, Area Efficient LMS Adaptive Filter with Adaptation Delay

Abstract

This paper presents the least-mean-square (LMS) adaptive filter for deriving its Architectures for high-speed and low complexity implementation. Among many adaptive algorithms that exist in the open literature, the class of approaches which are derived from the minimization of the mean squared error between the output of the adaptive filter and some desired signal seems to be the most popular. A novel partial product generator has been used for achieving lower adaptation delay and area-delay-power efficient implementation. The relationship between the step size and the convergence speed, and the effect of the delay on the convergence speed are also studied. The analytical results are supported by the computer simulations. The problem of the efficient realization of a DLMS transversal adaptive filter is investigated.