DOA estimation using radial basis function neural networks as uniform circular antenna array signal processor

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. RBF-NNs 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.