A proposal of blind equalization algorithm using over-sampling for received signals including noise

The blind equalization is a method which estimates the inverse system of the channel by using the only received signals, and the transmitted signals are regenerated by using the inverse system and the received signals. In the conventional method, it is assumed that the input signals of the equalization system don´t include noise. In the actual blind equalization, however, the equalization performance of the conventional methods are lower because of the equalization system´s input signals include noise. To solve the problem, in the prior study, several persons in the members of our study propose the blind identification algorithm using the total least squares (TLS) based on over-sampling method to use blind equalization.Then, in this paper, we considerate the blind equalization method using the blind identification algorithm based on prior study with higher estimation performance when received signals include noise. As the result, the proposed method is higher equalization performance than the conventional method in the received signals including noise, by computer simulation.