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Reseach Article

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

by Omar Waleed Abdulwahhab
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

@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 },
issue_date = { August 2014 },
volume = { 100 },
number = { 7 },
month = { August },
year = { 2014 },
issn = { 0975-8887 },
pages = { 1-5 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume100/number7/17534-8109/ },
doi = { 10.5120/17534-8109 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:29:18.099852+05:30
%A Omar Waleed Abdulwahhab
%T Mobile Position Estimation based on Three Angles of Arrival using an Interpolative Neural Network
%J International Journal of Computer Applications
%@ 0975-8887
%V 100
%N 7
%P 1-5
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
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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Index Terms

Computer Science
Information Sciences

Keywords

Angle of arrival (AOA) average position optimal position interpolative neural network.