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Mobile Position Estimation based on Three Angles of Arrival using an Interpolative Neural Network
2014
International Journal of Computer Applications
In this paper, the memorization capability of a multilayer interpolative neural network is exploited to estimate a mobile position based on three angles of arrival. The neural network is trained with ideal angles-position patterns distributed uniformly throughout the region. This approach is compared with two other analytical methods, the average-position method which relies on finding the average position of the vertices of the uncertainty triangular region and the optimal position method
doi:10.5120/17534-8109
fatcat:kb2wbzbym5a6vbap6pqec6zcni