Identifying and filtering noise caused by sensor set switching in UWB indoor position tracking

Autor:	Adam Hoover, Salil Banerjee, William Suski
Rok vydání:	2014
Předmět:	Engineering business.industry Communication Position tracking Local positioning system Ultra-wideband Fixed point Set (abstract data type) Noise Electronic engineering Computer vision Artificial intelligence Electrical and Electronic Engineering business Particle filter Trilateration
Zdroj:	International Journal of Ultra Wideband Communications and Systems. 3:8
ISSN:	1758-7298 1758-728X
DOI:	10.1504/ijuwbcs.2014.060970
Popis:	Trilateration calculations are affected by errors in distance measurements from the set of fixed points to the object of interest. When these errors are systemic, each distinct set of fixed points can be said to exhibit a unique set noise. For ultra-wideband (UWB) indoor position tracking, the set of fixed points is a set of sensors measuring the distance to a tracked tag. In this paper we develop a noise model for this sensor set noise, along with a particle filter that uses our set noise model. We test our methods on a real UWB system. Our methods showed an approximately 15% improvement in accuracy over the raw measurements.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::af03f73414bd2446dbce5dd8e82fbb65 https://doi.org/10.1504/ijuwbcs.2014.060970 Zobrazit plný text záznamu