A novel blind adaptive equalization in time-varying channels with ISI

Abstract

This paper addresses novel adaptive blind equalization for time-varying channels with inter-symbol interference (ISI). In this paper, a combined receiver structure using the CMA and Kalman filters investigated to utilize the advantages of both algorithms: a simple implementation for a blind algorithm and tracking capability. Based on this receiver structure, we present two techniques to improve the performance and reduce the complexity of channel equalization. One is a new cost function, which achieves faster convergence to adapt time variation of the channels. The other is termed a prior ISI reduction scheme, which reduces ISI before equalization and in turn leads to low-complexity equalization. The performance of our algorithms is confirmed by the mean square error (MSE) analysis and computer simulations.