The week's pick
Reseach Article
Mobile Position Estimation based on Three Angles of Arrival using an Interpolative Neural Network
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 100 - Number 7 |
| Year of Publication: 2014 |
| Authors: Omar Waleed Abdulwahhab |
10.5120/17534-8109
|
Omar Waleed Abdulwahhab . Mobile Position Estimation based on Three Angles of Arrival using an Interpolative Neural Network. International Journal of Computer Applications. 100, 7 ( August 2014), 1-5. DOI=10.5120/17534-8109
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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