Log-likelihood adaptive algorithm in single-layer perceptron based channel equalisation

摘要

A novel approach to adapting the weights of single-layer perceptron based channel equalisers is proposed, using the log-likelihood cost function and the resulting algorithm. Developing equalisers with this approach allows simpler computation, faster convergence and lower estimation error in comparison with the traditional back-propagation algorithm.