Increasing the performance of the LMS algorithm using an adaptive preconditioner

In this paper we outline a technique for increasing the convergence rate of the LMS algorithm by means of a preconditioning filter which reduces the eigenvalue spread of the input signal. Specifically we use a low order linear prediction lattice filter followed by a tapped-delay-line as the preconditioner. Some computer simulations are provided to demonstrate the increased convergence rate of the new algorithm.