Adaptive Direct Blind Equalization under Noisy Environment
Minoru Komatsu, Nari Tanabe, Toshihiro Furukawa · 2019
This paper proposes adaptive direct blind equalization under noisy environment. There is direct blind equalization corresponding to noisy environment using Rayleigh Quotient [2] as one of the conventional method of direct blind equalization method. It is known that the conventional method is higher precision even when the observed signals is included the noises. However, the conventional method has the problem that there is many computational complexity because this method have to calculate inverse matrix. In this paper, for solving this problem, we propose adaptive direct blind equalization under noisy environment. The features of proposed method are (i) realization of high performance and stable equalizer estimation with Data Least square(DLS) and (ii) reduction of computational complexity using gradient method. We show the effectiveness of the proposed method using computer simulation.