The Study On Variable Step-Size Neural Netwok Blind Equalization Algorithm

Equalization technology is an effective method which can remove intersymbol interference (ISI) in digital communication. Blind equalization is the latest development. It has abroad use because it can adaptively equalize without training sequence. This paper deduces BP algorithm in detail, analyzes blind equalization based on neural network, propose two improved algorithms by putting variable step-size theories into neural network blind equalization algorithm. The convergence performance of the improved algorithms is illustrated by computer simulations. The main works of this paper can be summarized as follows:(1) In this paper, the fundamental theory of neural network and blind equalization is summarized. BP algorithm is deduced in detail, and its drawback is analyzed.(2 ) This paper analyzes the convergence performance of the traditional blind equalization algorithm. Convergence speed and residual error become a contradiction due to the fixed step-size. In order to solve the contradiction, the paper proposes two improved algorithms by putting variable step-size theory into neural network blind equalization algorithm.(3) This paper analyzes residual error of neural network blind equalization algorithm, bring forward the feasibility that residual error...