Resolution of a neural network direction finding array

We have developed neural network based signal processing techniques for array antennas. The objective is to train the network at angles within the antenna field of view to perform the desired antenna function with arrays which cost less to manufacture. We show that the direction finding resolution increases with larger array apertures the same way it does for a conventional RF beamformer.