A blind equalizer based on nonlinear dynamics neural networks

Based on nonlinear dynamics theory, this article presents an artificial neural network (ANN) blind equalizer associated with its nonlinear dynamic equation and its stability conditions. Simulation results indicate that this ANN blind equalizer has a very strong tolerance of and adaptation to the time-varying high speed channel. The bit rate of its equalized channel can be as high as 10 Gbps.