Convolutional Neural Networks for Radio Frequency Ray Tracing

Ray tracing simulations are a common tool for commercial and military planning. In this work, we explore whether neural networks can be trained to accurately reproduce the results of these simulations. We create a large, procedurally generated urban dataset with which to train neural networks. We then utilize a tailored convolutional autoencoder to learn from the dataset. By iteratively predicting...