Equalisation using non-linear adaptive clustering

The optimal equalisation of communications channels is achieved by the use of maximum likelihood sequence estimation (MLSE). Nonlinear clustering procedures extend the capabilities of MLSE in the case of channel nonlinearity or time variation. However, a problem with these techniques has been either high computational complexity or uncertainty about model order. This paper provides a technique which fixes the model order at an a priori known level and simplifies the clustering by the use of a finite (and exact) polynomial interpretation, which also leads to simple and stable adaptation.<
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