A proposal of blind identification algorithm based on TLS
Hiroki Matsumoto, Minoru Komatsu, Toshihiro Furukawa · 2010
The over-sampling method is used for one of the blind channel estimation method. The estimation performance is high performance if it is not added noise to received signals as input signals into the estimation filter. But if it is added noise to input signals, the estimation performance is lower. Because, generally, LMS algorithm etc. are used for this method, and these algorithms are not effective for the input signals including the noise. Therefore, in this paper, we apply TLS algorithm to the blind channel estimation method based on over-sampling because TLS algorithm is effective for the input signals including the noise. The proposed algorithm works very well compared with the conventional method using LMS algorithm by computer simulation.