The DOA problem in impulsive noise environment is approached as a mapping which can be modeled using a radial-basis function neural network (RBFNN). To improve the robustness, the input pairs are preprocessed by Fractional Low-Order Statistics (FLOS) technique. The performance of this network is compared to that of the FLOM-MUSIC for both uncorrelated and correlated source. Numerical results show the good performance of the RBFNN-based DOA estimation. © Springer-Verlag Berlin Heidelberg 2005.
CITATION STYLE
Tang, H., Qiu, T., Li, S., Guo, Y., & Zhang, W. (2005). Robust Direction of Arrival (DOA) estimation using RBF neural network in impulsive noise environment. In Lecture Notes in Computer Science (Vol. 3498, pp. 332–337). Springer Verlag. https://doi.org/10.1007/11427469_53
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