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Artificial neural network for AOA estimation in a multipath environment over the sea

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3 Author(s)
Lo, T.K.Y. ; Commun. Res. Lab., McMaster Univ., Hamilton, Ont., Canada ; Leung, H. ; Litva, J.

In this paper, we use a neural network to carry out angle-of-arrival (AOA) estimation in a multipath oceanic environment. In particular, the AOA problem is considered as a mapping from the space of AOA to the space of the sensor output. A neural network is used to determine the inverse mapping from the sensor output space to the space of AOA and this inversion is realized using a radial basis function (RBF) network. We will present the development of the RBF approach for AOA estimation. Simulations are carried out to understand the efficiency and performance of this method. Furthermore, real data are used to evaluate the RBF approach and the results demonstrate the robustness and effectiveness of this neural network method

Published in:

Oceanic Engineering, IEEE Journal of  (Volume:19 ,  Issue: 4 )

Date of Publication:

Oct 1994

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