Fusion of Multiple Mobility and Observation Models for Indoor Zoning-Based Sensor Tracking
| Autor: | Daniel Alshamaa, Aly Chkeir, Paul Honeine, Farah Mourad-Chehade |
|---|---|
| Přispěvatelé: | Laboratoire Modélisation et Sûreté des Systèmes (LM2S), Institut Charles Delaunay (ICD), Université de Technologie de Troyes (UTT)-Centre National de la Recherche Scientifique (CNRS)-Université de Technologie de Troyes (UTT)-Centre National de la Recherche Scientifique (CNRS), Université de Rouen Normandie (UNIROUEN), Normandie Université (NU) |
| Rok vydání: | 2020 |
| Předmět: |
020301 aerospace & aeronautics
Mobility model Computer science Real-time computing hidden Markov models (HMMs) Aerospace Engineering 02 engineering and technology tracking Tracking (particle physics) Track (rail transport) mobility fusion of evidence 0203 mechanical engineering Position (vector) Belief functions Computer Science::Networking and Internet Architecture Electrical and Electronic Engineering Hidden Markov model [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing |
| Zdroj: | IEEE Transactions on Aerospace and Electronic Systems IEEE Transactions on Aerospace and Electronic Systems, Institute of Electrical and Electronics Engineers, In press, pp.1-1. ⟨10.1109/TAES.2020.2988837⟩ IEEE Transactions on Aerospace and Electronic Systems, 2020, 56 (6), pp.4315-4326. ⟨10.1109/TAES.2020.2988837⟩ |
| ISSN: | 2371-9877 0018-9251 |
| Popis: | International audience; In this paper, we propose a novel zoning-based tracking technique that combines the sensors' mobility with a WiFi-based observation model in the belief functions framework to track the sensors in real time. The next possible destinations of the sensors are predicted, leading to a mobility model. The belief functions framework is used to propagate the previous step evidence till the current one. The mobility of the sensors, along with information from the network, are used to obtain an accurate estimation of their position. The contributions of this paper are two-fold. Firstly, it proposes new mobility models based on the transition between zones and hidden Markov models, to generate evidence on the zones of the sensors without the use of inertial measurement units. Secondly, it explores the fusion of evidence generated by the mobility models on one hand, and the observation model on the other hand. The efficiency of the proposed method is demonstrated through experiments conducted on real data in two experimental scenarios. |
| Databáze: | OpenAIRE |
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