A proposal of blind equalizer using kurtosis and skewness

Abstract

In a transmission system, the conventional adaptive blind equalizers are implemented a direct estimation for the parameters of the equalizers. But both convergence rate of these algorithms and reliability of the regenerated signals degrade down.
In this paper, we propose a new equalization system and a new adaptive algorithm using the blind channel estimation for improving these two faults above. In the proposed method, first, we provide a psudo-channel and input signals to the psudo-channel in received part, and characteristics of the channel are adaptivly estimated using simplified kurtosis, skewness of output signals of the channel and the psudo-channel. Secondly, we design the equalizer using an adaptive orthogonal projection algorithm for the estimated channel impulse response matrix.
We confirm that convergence rate of the proposed algorithm and reliability of the regenrated signals are better than those of the conventional adaptive blind algorithm by numerical example.