A novel PSO based adaptive channel equalizer using a modified ANN structure

Here we have presented an alternate ANN structure called functional link ANN (FLANN) for channel equalization. In contrast to a feed forward ANN structure i.e. a multilayer perceptron (MLP), the FLANN is basically a single layer structure in which non-linearity is introduced by enhancing the input pattern with nonlinear function expansion. A novel method of training the FLANNs using PSO Algorithm is described. The neuron structure is modified to improve the performance of the equalizer. From the results it can be noted that the proposed structure improves the classification capability of the FLANNs in differentiating the received data.