DOA Estimation using Radial Basis Function Neural Networks as Uniform Circular Antenna Array Signal Processor

摘要

In this paper, estimation of direction-of-arrival (DOA) of source signals employing radial basis function neural networks (RBF-NNs) is presented. The signal model used in the algorithm is based on the circular antenna array geometry. RBFNNs are trained and tested to estimate DOAs of different number of signals in azimuth plane. The performance of the RBF-NNs is evaluated in noisy environment for various values of signal-to-noise (SNR) ratio.