Cargando…
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...
Autor principal: | |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2022
|
Materias: | |
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 |
Sumario: | 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. |
---|