Blind Equalization Algorithm Based On Genetic Algorithm And Neural Network

In modern communication system, the main factor deteriorating the system performance is the inter-symbol interference (ISI) caused by non-ideal character of channel. The equalization technique is an efficient method to overcome inter-symbol interference and improve the performance of the system. The blind equalization is the method that just relies on the prior-information of received channel-output sequence to adjust the equalizer weights to rebuild the sending sequence without a known training sequence.In recent years, the blind equalization based on the excellent nonlinear characteristic of neural network has become a hot research field because most practical channels are nonlinear models. Traditional BP algorithm can achieve certain effects on the blind equalization. But it's only good at global searching and easy to get into the local minimum in the multi-extremes situation. Through in-depth study of the deficiencies and...