TAILIEUCHUNG - Báo cáo: Nonparametric Bayesian Filtering for Location Estimation, Position Tracking, and Global Localization of Mobile Terminals in Outdoor Wireless Environments

Hindawi Publishing Corporation EURASIP Journal on Advances in Signal Processing Volume 2008, Article ID 317252, 14 pages doi: Research Article Nonparametric Bayesian Filtering for Location Estimation, Position Tracking, and Global Localization of Mobile Terminals in Outdoor Wireless Environments Mohamed Khalaf-Allah Institute of Communications Engineering, Faculty of Electrical Engineering and Information Technology, Leibniz University of Hannover, Appelstrasse 9A, 30167 Hannover, Germany Correspondence should be addressed to Mohamed Khalaf-Allah, Received 28 February 2007; Revised 16 August 2007; Accepted 10 November 2007 Recommended by Richard J. Barton The mobile terminal positioning problem is categorized into three different types according to the availability of (1) initial. | Hindawi Publishing Corporation EURASIP Journal on Advances in Signal Processing Volume 2008 Article ID 317252 14 pages doi 2008 317252 Research Article Nonparametric Bayesian Filtering for Location Estimation Position Tracking and Global Localization of Mobile Terminals in Outdoor Wireless Environments Mohamed Khalaf-Allah Institute of Communications Engineering Faculty of Electrical Engineering and Information Technology Leibniz University of Hannover Appelstrasse 9A 30167 Hannover Germany Correspondence should be addressed to Mohamed Khalaf-Allah Received 28 February 2007 Revised 16 August 2007 Accepted 10 November 2007 Recommended by Richard J. Barton The mobile terminal positioning problem is categorized into three different types according to the availability of 1 initial accurate location information and 2 motion measurement data. Location estimation refers to the mobile positioning problem when both the initial location and motion measurement data are not available. If both are available the positioning problem is referred to as position tracking. When only motion measurements are available the problem is known as global localization. These positioning problems were solved within the Bayesian filtering framework. Filter derivation and implementation algorithms are provided with emphasis on the mapping approach. The radio maps of the experimental area have been created by a 3D deterministic radio propagation tool with a grid resolution of 5 m. Real-world experimentation was conducted in a GSM network deployed in a semiurban environment in order to investigate the performance of the different positioning algorithms. Copyright 2008 Mohamed Khalaf-Allah. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited. 1. INTRODUCTION Mobile terminal MT positioning is a .

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