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2D Triangulation of Signals Source by Pole-Polar Geometric Models
The 2D point location problem has applications in several areas, such as geographic information systems, navigation systems, motion planning, mapping, military strategy, location and tracking moves. We aim to present a new approach that expands upon current techniques and methods to locate the 2D po...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6427499/ https://www.ncbi.nlm.nih.gov/pubmed/30818879 http://dx.doi.org/10.3390/s19051020 |
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author | Montanha, Aleksandro Polidorio, Airton M. Dominguez-Mayo, F. J. Escalona, María J. |
author_facet | Montanha, Aleksandro Polidorio, Airton M. Dominguez-Mayo, F. J. Escalona, María J. |
author_sort | Montanha, Aleksandro |
collection | PubMed |
description | The 2D point location problem has applications in several areas, such as geographic information systems, navigation systems, motion planning, mapping, military strategy, location and tracking moves. We aim to present a new approach that expands upon current techniques and methods to locate the 2D position of a signal source sent by an emitter device. This new approach is based only on the geometric relationship between an emitter device and a system composed of [Formula: see text] signal receiving devices. Current approaches applied to locate an emitter can be deterministic, statistical or machine-learning methods. We propose to perform this triangulation by geometric models that exploit elements of pole-polar geometry. For this purpose, we are presenting five geometric models to solve the point location problem: (1) based on centroid of points of pole-polar geometry, PPC; (2) based on convex hull region among pole-points, CHC; (3) based on centroid of points obtained by polar-lines intersections, PLI; (4) based on centroid of points obtained by tangent lines intersections, TLI; (5) based on centroid of points obtained by tangent lines intersections with minimal angles, MAI. The first one has computational cost [Formula: see text] and whereas has the computational cost [Formula: see text] where [Formula: see text] is the number of points of interest. |
format | Online Article Text |
id | pubmed-6427499 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-64274992019-04-15 2D Triangulation of Signals Source by Pole-Polar Geometric Models Montanha, Aleksandro Polidorio, Airton M. Dominguez-Mayo, F. J. Escalona, María J. Sensors (Basel) Article The 2D point location problem has applications in several areas, such as geographic information systems, navigation systems, motion planning, mapping, military strategy, location and tracking moves. We aim to present a new approach that expands upon current techniques and methods to locate the 2D position of a signal source sent by an emitter device. This new approach is based only on the geometric relationship between an emitter device and a system composed of [Formula: see text] signal receiving devices. Current approaches applied to locate an emitter can be deterministic, statistical or machine-learning methods. We propose to perform this triangulation by geometric models that exploit elements of pole-polar geometry. For this purpose, we are presenting five geometric models to solve the point location problem: (1) based on centroid of points of pole-polar geometry, PPC; (2) based on convex hull region among pole-points, CHC; (3) based on centroid of points obtained by polar-lines intersections, PLI; (4) based on centroid of points obtained by tangent lines intersections, TLI; (5) based on centroid of points obtained by tangent lines intersections with minimal angles, MAI. The first one has computational cost [Formula: see text] and whereas has the computational cost [Formula: see text] where [Formula: see text] is the number of points of interest. MDPI 2019-02-27 /pmc/articles/PMC6427499/ /pubmed/30818879 http://dx.doi.org/10.3390/s19051020 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Montanha, Aleksandro Polidorio, Airton M. Dominguez-Mayo, F. J. Escalona, María J. 2D Triangulation of Signals Source by Pole-Polar Geometric Models |
title | 2D Triangulation of Signals Source by Pole-Polar Geometric Models |
title_full | 2D Triangulation of Signals Source by Pole-Polar Geometric Models |
title_fullStr | 2D Triangulation of Signals Source by Pole-Polar Geometric Models |
title_full_unstemmed | 2D Triangulation of Signals Source by Pole-Polar Geometric Models |
title_short | 2D Triangulation of Signals Source by Pole-Polar Geometric Models |
title_sort | 2d triangulation of signals source by pole-polar geometric models |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6427499/ https://www.ncbi.nlm.nih.gov/pubmed/30818879 http://dx.doi.org/10.3390/s19051020 |
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