Time Reversal Electromagnetic Channel Modeling by GA-ANN

In this paper, an artificial neural network with genetic algorithm (GA-ANN) method is introduced to develop a time reversal (TR) electromagnetic channel model. Empirical knowledge is integrated into GA to optimize the ANN. Once the terminal location is input, the GA-ANN model can simultaneously obtain channel characteristics of TR communication. A simple indoor scenario is used to verify the effectiveness of the method.