NDLI: A Maximum Likelihood UWB Localization Algorithm Exploiting Knowledge of the Service Area Layout

Content Provider	Springer Nature Link
Author	Arias de Reyna, Eva Mengali, Umberto
Copyright Year	2012
Abstract	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.
Starting Page	1413
Ending Page	1426
Page Count	14
File Format	PDF
ISSN	09296212
Journal	Wireless Personal Communications
Volume Number	69
Issue Number	4
e-ISSN	1572834X
Language	English
Publisher	Springer US
Publisher Date	2012-05-01
Publisher Place	Boston
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	UWB Localization Undetected direct path Time of arrival Communications Engineering, Networks Signal, Image and Speech Processing Computer Communication Networks
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering Computer Science Applications

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