Document Detail

Error estimation for the linearized auto-localization algorithm.
MedLine Citation:
PMID:  22736965     Owner:  NLM     Status:  PubMed-not-MEDLINE    
The Linearized Auto-Localization (LAL) algorithm estimates the position of beacon nodes in Local Positioning Systems (LPSs), using only the distance measurements to a mobile node whose position is also unknown. The LAL algorithm calculates the inter-beacon distances, used for the estimation of the beacons' positions, from the linearized trilateration equations. In this paper we propose a method to estimate the propagation of the errors of the inter-beacon distances obtained with the LAL algorithm, based on a first order Taylor approximation of the equations. Since the method depends on such approximation, a confidence parameter τ is defined to measure the reliability of the estimated error. Field evaluations showed that by applying this information to an improved weighted-based auto-localization algorithm (WLAL), the standard deviation of the inter-beacon distances can be improved by more than 30% on average with respect to the original LAL method.
Jorge Guevara; Antonio R Jiménez; Jose Carlos Prieto; Fernando Seco
Related Documents :
23987815 - Homeostasis: an underestimated focal point of ecology and evolution.
22736645 - Visual classification with multi-task joint sparse representation.
24833225 - Algorithms for hidden markov models restricted to occurrences of regular expressions.
22851645 - A maximum-likelihood method to correct for allelic dropout in microsatellite data with ...
19940175 - Three stages and four neural systems in time estimation.
20423335 - High-throughput screening and small animal models, where are we?
Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't     Date:  2012-02-24
Journal Detail:
Title:  Sensors (Basel, Switzerland)     Volume:  12     ISSN:  1424-8220     ISO Abbreviation:  Sensors (Basel)     Publication Date:  2012  
Date Detail:
Created Date:  2012-06-27     Completed Date:  2012-10-30     Revised Date:  2013-05-30    
Medline Journal Info:
Nlm Unique ID:  101204366     Medline TA:  Sensors (Basel)     Country:  Switzerland    
Other Details:
Languages:  eng     Pagination:  2561-81     Citation Subset:  -    
Centro de Automática y Robótica (CAR), Consejo Superior de Investigaciones Científicas (CSIC)-UPM, Madrid, Spain.
Export Citation:
APA/MLA Format     Download EndNote     Download BibTex
MeSH Terms

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine

Previous Document:  Dual super-systolic core for real-time reconstructive algorithms of high-resolution radar/SAR imagin...
Next Document:  Integrating metal-oxide-decorated CNT networks with a CMOS readout in a gas sensor.