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Sensors 2017, 17(4), 817; doi:10.3390/s17040817

A Quadrilateral Geometry Classification Method and Device for Femtocell Positioning Networks

1
Department of Communications Engineering, Yuan-Ze University, Taoyuan 320, Taiwan
2
Communication Research Center, Yuan-Ze University, Taoyuan 320, Taiwan
*
Author to whom correspondence should be addressed.
Academic Editors: Cheng-Chi Wang and Ming-Tsang Lee
Received: 13 December 2016 / Revised: 28 March 2017 / Accepted: 6 April 2017 / Published: 10 April 2017
(This article belongs to the Special Issue Innovative Sensing Control Scheme for Advanced Materials)
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Abstract

This article proposes a normalization multi-layer perception (NMLP) geometry classifier to autonomously determine the optimal four femtocell evolved Node Bs (FeNBs), which can use time difference of arrival (TDOA) to measure the location of the macrocell user equipment (MUE) with the lowest GDOP value. The iterative geometry training (IGT) algorithm is designed to obtain the training data for the NMLP geometry classifier. The architecture of the proposed NMLP geometry classifier is realized in the server of the cloud computing platform, to identify the optimal geometry disposition of four FeNBs for positioning the MUE located between two buildings. Six by six neurons are chosen for two hidden layers, in order to shorten the convergent time. The feasibility of the proposed method is demonstrated by means of numerical simulations. In addition, the simulation results also show that the proposed method is particularly suitable for the application of the MUE positioning with a huge number of FeNBs. Finally, three quadrilateral optimum geometry disposition decision criteria are analyzed for the validation of the simulation results. View Full-Text
Keywords: femtocell positioning network; optimum geometry disposition decision criteria; normalization multi layer perception; iterative geometry training algorithm; time difference of arrival; cloud computing platform femtocell positioning network; optimum geometry disposition decision criteria; normalization multi layer perception; iterative geometry training algorithm; time difference of arrival; cloud computing platform
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Mar, J.; Chang, T.Y.; Wang, Y.J. A Quadrilateral Geometry Classification Method and Device for Femtocell Positioning Networks. Sensors 2017, 17, 817.

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