naa a22 4500 510794807 CHVBK 20180411083332.0 cr unu---uuuuu 180411e20130401xx s 000 0 eng 10.1007/s11277-012-0642-2 doi (NATIONALLICENCE)springer-10.1007/s11277-012-0642-2 A Maximum Likelihood UWB Localization Algorithm Exploiting Knowledge of the Service Area Layout [Elektronische Daten] [Eva Arias-de-Reyna, Umberto Mengali] In this paper a method for ultra-wideband (UWB) localization for indoor applications is proposed. Beacons at known locations exchange signals with a tag to the purpose of estimating its position from range measurements. These measurements are accurate only when the ray corresponding to the direct path (DP) from tag to beacon is strong enough. In an UWB indoor environment, however, the DP may be blocked by thick walls or metallic obstacles, giving rise to large range errors. Several methods are available to mitigate this problem, exploiting different degrees of prior information. Techniques exploiting range error models or based on traditional fingerprinting lead to better results than methods that do not require any prior knowledge. We propose a new method that combines the maximum likelihood principle with range error models and special fingerprints. Its performance, assessed by simulation and compared to other techniques, is shown to be superior to traditional fingerprinting in the presence of environmental changes. Springer Science+Business Media, LLC., 2012 UWB nationallicence Localization nationallicence Undetected direct path nationallicence Time of arrival nationallicence Arias-de-Reyna Eva Department of Signal Theory and Communications, University of Seville, Camino de los Descubrimientos s/n, 41092, Seville, Spain aut Mengali Umberto Department of Information Engineering, University of Pisa, Via Caruso 16, 56122, Pisa, Italy aut Wireless Personal Communications Springer US; http://www.springer-ny.com 69/4(2013-04-01), 1413-1426 0929-6212 69:4<1413 2013 69 11277 https://doi.org/10.1007/s11277-012-0642-2 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s11277-012-0642-2 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Arias-de-Reyna Eva Department of Signal Theory and Communications, University of Seville, Camino de los Descubrimientos s/n, 41092, Seville, Spain aut NATIONALLICENCE 700 1- Mengali Umberto Department of Information Engineering, University of Pisa, Via Caruso 16, 56122, Pisa, Italy aut NATIONALLICENCE 773 0- Wireless Personal Communications Springer US; http://www.springer-ny.com 69/4(2013-04-01), 1413-1426 0929-6212 69:4<1413 2013 69 11277 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer