Cargando…
LPS Auto-Calibration Algorithm with Predetermination of Optimal Zones
Accurate coordinates for active beacons placed in the environment are required in Local Positioning Systems (LPS). These coordinates and the distances (or differences of distances) measured between the beacons and the mobile node to be localized are inputs to most trilateration algorithms. As a firs...
Autores principales: | , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Molecular Diversity Preservation International (MDPI)
2011
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3274291/ https://www.ncbi.nlm.nih.gov/pubmed/22346649 http://dx.doi.org/10.3390/s111110398 |
_version_ | 1782223053448544256 |
---|---|
author | Ruiz, Francisco Daniel Ureña, Jesús García, Juan C. Jiménez, Ana Hernández, Álvaro García, Juan J. |
author_facet | Ruiz, Francisco Daniel Ureña, Jesús García, Juan C. Jiménez, Ana Hernández, Álvaro García, Juan J. |
author_sort | Ruiz, Francisco Daniel |
collection | PubMed |
description | Accurate coordinates for active beacons placed in the environment are required in Local Positioning Systems (LPS). These coordinates and the distances (or differences of distances) measured between the beacons and the mobile node to be localized are inputs to most trilateration algorithms. As a first approximation, such coordinates are obtained by means of manual measurements (a time-consuming and non-flexible method), or by using a calibration algorithm (i.e., automatic determination of beacon coordinates from ad hoc measurements). This paper presents a method to calibrate the beacons’ positions in a LPS using a mobile receiver. The method has been developed for both, spherical and hyperbolic trilateration. The location of only three test points must be known a priori, while the position of the other test points can be unknown. Furthermore, the paper describes a procedure to estimate the optimal positions, or approximate areas in the coverage zone, where the test-points necessary to calibrate the ultrasonic LPS should be placed. Simulation and experimental results show the improvement achieved when these optimal test-points are used instead of randomly selected ones. |
format | Online Article Text |
id | pubmed-3274291 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2011 |
publisher | Molecular Diversity Preservation International (MDPI) |
record_format | MEDLINE/PubMed |
spelling | pubmed-32742912012-02-15 LPS Auto-Calibration Algorithm with Predetermination of Optimal Zones Ruiz, Francisco Daniel Ureña, Jesús García, Juan C. Jiménez, Ana Hernández, Álvaro García, Juan J. Sensors (Basel) Article Accurate coordinates for active beacons placed in the environment are required in Local Positioning Systems (LPS). These coordinates and the distances (or differences of distances) measured between the beacons and the mobile node to be localized are inputs to most trilateration algorithms. As a first approximation, such coordinates are obtained by means of manual measurements (a time-consuming and non-flexible method), or by using a calibration algorithm (i.e., automatic determination of beacon coordinates from ad hoc measurements). This paper presents a method to calibrate the beacons’ positions in a LPS using a mobile receiver. The method has been developed for both, spherical and hyperbolic trilateration. The location of only three test points must be known a priori, while the position of the other test points can be unknown. Furthermore, the paper describes a procedure to estimate the optimal positions, or approximate areas in the coverage zone, where the test-points necessary to calibrate the ultrasonic LPS should be placed. Simulation and experimental results show the improvement achieved when these optimal test-points are used instead of randomly selected ones. Molecular Diversity Preservation International (MDPI) 2011-10-31 /pmc/articles/PMC3274291/ /pubmed/22346649 http://dx.doi.org/10.3390/s111110398 Text en © 2011 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 license (http://creativecommons.org/licenses/by/3.0/). |
spellingShingle | Article Ruiz, Francisco Daniel Ureña, Jesús García, Juan C. Jiménez, Ana Hernández, Álvaro García, Juan J. LPS Auto-Calibration Algorithm with Predetermination of Optimal Zones |
title | LPS Auto-Calibration Algorithm with Predetermination of Optimal Zones |
title_full | LPS Auto-Calibration Algorithm with Predetermination of Optimal Zones |
title_fullStr | LPS Auto-Calibration Algorithm with Predetermination of Optimal Zones |
title_full_unstemmed | LPS Auto-Calibration Algorithm with Predetermination of Optimal Zones |
title_short | LPS Auto-Calibration Algorithm with Predetermination of Optimal Zones |
title_sort | lps auto-calibration algorithm with predetermination of optimal zones |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3274291/ https://www.ncbi.nlm.nih.gov/pubmed/22346649 http://dx.doi.org/10.3390/s111110398 |
work_keys_str_mv | AT ruizfranciscodaniel lpsautocalibrationalgorithmwithpredeterminationofoptimalzones AT urenajesus lpsautocalibrationalgorithmwithpredeterminationofoptimalzones AT garciajuanc lpsautocalibrationalgorithmwithpredeterminationofoptimalzones AT jimenezana lpsautocalibrationalgorithmwithpredeterminationofoptimalzones AT hernandezalvaro lpsautocalibrationalgorithmwithpredeterminationofoptimalzones AT garciajuanj lpsautocalibrationalgorithmwithpredeterminationofoptimalzones |