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Optimal reduction and conversion of range-difference measurements for positioning
For positioning an object with m references, there are m−1 linearly independent range differences and measuring them is essential. However, none of m(m−1) possible range differences should be considered redundant unless their measurements are free of noise and locations of the references are exactly...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Public Library of Science
2022
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9423659/ https://www.ncbi.nlm.nih.gov/pubmed/36037206 http://dx.doi.org/10.1371/journal.pone.0273617 |
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author | Hou, M. |
author_facet | Hou, M. |
author_sort | Hou, M. |
collection | PubMed |
description | For positioning an object with m references, there are m−1 linearly independent range differences and measuring them is essential. However, none of m(m−1) possible range differences should be considered redundant unless their measurements are free of noise and locations of the references are exactly known. From all available range-difference measurements, m range measurements are obtained for positioning based on the least squares principle. The problem formulation treats missing and weighted range-difference measurements simultaneously. The exact relationships among several formulations of least squares positioning are established. A numerical example illustrates the results. |
format | Online Article Text |
id | pubmed-9423659 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-94236592022-08-30 Optimal reduction and conversion of range-difference measurements for positioning Hou, M. PLoS One Research Article For positioning an object with m references, there are m−1 linearly independent range differences and measuring them is essential. However, none of m(m−1) possible range differences should be considered redundant unless their measurements are free of noise and locations of the references are exactly known. From all available range-difference measurements, m range measurements are obtained for positioning based on the least squares principle. The problem formulation treats missing and weighted range-difference measurements simultaneously. The exact relationships among several formulations of least squares positioning are established. A numerical example illustrates the results. Public Library of Science 2022-08-29 /pmc/articles/PMC9423659/ /pubmed/36037206 http://dx.doi.org/10.1371/journal.pone.0273617 Text en © 2022 M. Hou https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Hou, M. Optimal reduction and conversion of range-difference measurements for positioning |
title | Optimal reduction and conversion of range-difference measurements for positioning |
title_full | Optimal reduction and conversion of range-difference measurements for positioning |
title_fullStr | Optimal reduction and conversion of range-difference measurements for positioning |
title_full_unstemmed | Optimal reduction and conversion of range-difference measurements for positioning |
title_short | Optimal reduction and conversion of range-difference measurements for positioning |
title_sort | optimal reduction and conversion of range-difference measurements for positioning |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9423659/ https://www.ncbi.nlm.nih.gov/pubmed/36037206 http://dx.doi.org/10.1371/journal.pone.0273617 |
work_keys_str_mv | AT houm optimalreductionandconversionofrangedifferencemeasurementsforpositioning |