Modeling and Suppression of Reverberation Components

Abstract

We propose a maximum likelihood type approach for estimating the arrival times of signals which have propagated via a continuum of paths, i.e. temporally spread channels. The channel spreading is included in the model by using a discrete prolate spheroidal sequence (DPSS) to represent the channel impulse response of given duration, but unknown shape. The unknown parameters are estimated using an iterative methodology which decomposes the original data into its constituent components and then estimates the parameters of the individual components through a sequence of one dimensional searches. Computer simulation examples indicate that the method performs well.