International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
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Volume 100 - Issue 7 |
Published: August 2014 |
Authors: Omar Waleed Abdulwahhab |
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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
@article{ 10.5120/17534-8109, author = { Omar Waleed Abdulwahhab }, title = { 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 }, doi = { 10.5120/17534-8109 }, publisher = { Foundation of Computer Science (FCS), NY, USA } }
%0 Journal Article %D 2014 %A Omar Waleed Abdulwahhab %T Mobile Position Estimation based on Three Angles of Arrival using an Interpolative Neural Network%T %J International Journal of Computer Applications %V 100 %N 7 %P 1-5 %R 10.5120/17534-8109 %I Foundation of Computer Science (FCS), NY, USA
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.