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Mobile Position Estimation based on Three Angles of Arrival using an Interpolative Neural Network

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International Journal of Computer Applications
© 2014 by IJCA Journal
Volume 100 - Number 7
Year of Publication: 2014
Authors:
Omar Waleed Abdulwahhab
10.5120/17534-8109

Omar Waleed Abdulwahhab. Article: Mobile Position Estimation based on Three Angles of Arrival using an Interpolative Neural Network. International Journal of Computer Applications 100(7):1-5, August 2014. Full text available. BibTeX

@article{key:article,
	author = {Omar Waleed Abdulwahhab},
	title = {Article: Mobile Position Estimation based on Three Angles of Arrival using an Interpolative Neural Network},
	journal = {International Journal of Computer Applications},
	year = {2014},
	volume = {100},
	number = {7},
	pages = {1-5},
	month = {August},
	note = {Full text available}
}

Abstract

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 which relies on finding the nearest ideal angles-position pattern to the measured angles. Simulation results based on estimations of the mobile position of particles moving along a nonlinear path show that the interpolative neural network approach outperforms the two other methods in its estimations for different noise conditions.

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