Combined adjusted step size LMS algorithm and active tap detection technique for adaptive noise cancellation

Abstract EN

In this paper, a new idea to combine Adjusted Step Size Least Mean Square (ASSLMS) algorithm with standard LMS active tap detection technique is presented.

Then the combined method is used for estimating unknown time-invariant (stationary) and time varying (non- stationary) Finite Impulse Response (FIR) channel for adaptive noise cancellation (ANC) application.

The focus of this paper is to improve the convergence rate and low level of the error in the steady state for the popular LMS adaptive filter.

The simulation results have shown improvement on the convergence rate using the combined technique over both the ASSLMS algorithm and standard LMS active tap detection technique if they are used alone.