The accuracy of indoor wireless localization systems can be substantially enhanced by map-awareness, i.e., by the knowledge of the map of the environment in which localization signals are acquired. In fact, this knowledge can be exploited to cancel out, at least to some extent, the signal degradation due to propagation through physical obstructions, i.e., to the so called non-line-of-sight bias. This result can be achieved by developing novel localization techniques that rely on proper map-aware statistical modelling of the measurements they process. In this manuscript a unified statistical model for the measurements acquired in map-aware localization systems based on time-of-arrivaland received signal strength techniques is developed and its experimental validation is illustrated. Finally, the accuracy of the proposed map-aware model is assessed and compared with that offered by its map-unaware counterparts. Our numerical results show that, when the quality of acquired measurements is poor, map-aware modelling can enhance localization accuracy by up to 110% in certain scenarios.

Map-aware models for indoor wireless localization systems: an experimental study / Montorsi, Francesco; Pancaldi, Fabrizio; Vitetta, Giorgio Matteo. - In: IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS. - ISSN 1536-1276. - STAMPA. - 13:5(2014), pp. 2850-2862. [10.1109/TWC.2014.040714.130893]

Map-aware models for indoor wireless localization systems: an experimental study

MONTORSI, FRANCESCO;PANCALDI, Fabrizio;VITETTA, Giorgio Matteo
2014

Abstract

The accuracy of indoor wireless localization systems can be substantially enhanced by map-awareness, i.e., by the knowledge of the map of the environment in which localization signals are acquired. In fact, this knowledge can be exploited to cancel out, at least to some extent, the signal degradation due to propagation through physical obstructions, i.e., to the so called non-line-of-sight bias. This result can be achieved by developing novel localization techniques that rely on proper map-aware statistical modelling of the measurements they process. In this manuscript a unified statistical model for the measurements acquired in map-aware localization systems based on time-of-arrivaland received signal strength techniques is developed and its experimental validation is illustrated. Finally, the accuracy of the proposed map-aware model is assessed and compared with that offered by its map-unaware counterparts. Our numerical results show that, when the quality of acquired measurements is poor, map-aware modelling can enhance localization accuracy by up to 110% in certain scenarios.
2014
13
5
2850
2862
Map-aware models for indoor wireless localization systems: an experimental study / Montorsi, Francesco; Pancaldi, Fabrizio; Vitetta, Giorgio Matteo. - In: IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS. - ISSN 1536-1276. - STAMPA. - 13:5(2014), pp. 2850-2862. [10.1109/TWC.2014.040714.130893]
Montorsi, Francesco; Pancaldi, Fabrizio; Vitetta, Giorgio Matteo
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11380/1019113
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