An approach to recursive equalization via white sequence estimation techniques

Abstract

A state space modeling approach to equalization, which is applicable to both finite, as well as infinite impulse response channels, is presented. The order of the state space model is typically much Smaller than the length of the impulse response. It is shown by analysis and simulation that the proposed approach has considerably less digit mean square-error as compared to the conventional Kalman filter equalizers for much smaller model orders and, hence, computational efforts.