Dominant paths for the field strength prediction

An algorithm for the determination of the dominant paths for indoor wave propagation is presented. The algorithm computes a tree of the relations between the rooms inside the building and the branches of the tree are used for the determination of the dominant paths. Based on these dominant paths, three different prediction models are presented and compared with one another and with measurements. Two of the three models are based on neural networks, trained with measurements and the third model is an empirical model. With the neural prediction models a good generalization is achieved and they are very accurate in buildings not used for the training of the neural network