A proposal of blind deconvolution using orthogonal projection and kurtosis

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 pseudo-channel and input signals to the pseudo-channel in received part, and characteristics of the channel are adaptively estimated using simplified kurtosis, output signals of the channel and the pseudo-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 regenerated signals are better than those of the conventional adaptive blind algorithm by numerical example.