A proposal of blind channel identification based on TLS using over-sampling method for the received signals including noises

In this report, we consider the blind identification using n-times over-sampling, where the noises are included to the received signals of the channel. In communication system, one of methods to realize identification by using only received signals is the method based on cyclostationary process, where its process is obtained by n-times over-sampling of the received signals. There is an algorithm using subspace method as one of the representative methods based on n-times over sampling methods. In the algorithm using subspace method, the received signals space are separated into signals subspace and noises subspace, and the unknown system is offline estimated by using these orthogonality, In this method, practical use is difficult because this is no suitable for online processing. It is because its many computational complexity. In order to solve the problem, we propose the adaptive method based on TLS. The proposed method is a few computational complexity because it is adaptive method. Therefore, we are able to realize online processing of the blind identification. As the result for performance confirmation of the proposed method by computer simulation, it is cleared that the proposed method has higher estimation precision and faster convergence rate. It is thought that estimation precision is higher because we use TLS, And it is thought that convergence rate is faster because we use updating rule such as RLS and variable step gain. From presentation above, the proposed method is the algorithm that has practical application.