Abstract:
Maximum-likelihood estimation and multicarrier modulation techniques are effective methods to mitigate intersymbol interference (ISI) in wireless and wireline communicati...Show MoreMetadata
Abstract:
Maximum-likelihood estimation and multicarrier modulation techniques are effective methods to mitigate intersymbol interference (ISI) in wireless and wireline communications, but their complexity and performance are limited by the channel length. Channel shortening equalization is an efficient way to shorten the length of the ISI channel while keeping most of the channel energy inside the shortened window. In this paper, we propose an infinite impulse response (IIR) filter for channel shortening and provide polynomial based algorithms to compute the shortening filter. We also considered a very general framework allowing auto-regressive moving average (ARMA) input and noise processes together with an ARMA channel model. An illustrative numerical example shows the superior performance of our proposed scheme as compared to existing techniques.
Published in: 2004 12th European Signal Processing Conference
Date of Conference: 06-10 September 2004
Date Added to IEEE Xplore: 06 April 2015
Print ISBN:978-320-0001-65-7
Conference Location: Vienna, Austria