Channel estimation and equalization based on origin analysis

Abstract

The presence of inter-symbol interference (ISI) can significantly degrade the performance of digital communication systems. Generally, an ISI channel can be modeled as a time-varying FIR filter. The ISI effect can thus be removed by inversefiltering the distorted signal at the receiver. This paper, however, presents a different approach, which, other than recovering the source signal directly, attempts to adapt the decision rule in accordance with the channel statistics, so as to retrieve the loss of BER performance caused by ISI.