Li, Zan; Braun, Torsten (2015). Passively Track WiFi Users with an Enhanced Particle Filter using Power-based Ranging (Technischer Bericht IAM-15-005). Bern, Switzerland: INF - Institut fur Informatik, Universitat Bern
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Passive positioning systems produce user location information for third-party providers of positioning services. Since the tracked wireless devices do not participate in the positioning process, passive positioning can only rely on simple, measurable radio signal parameters, such as timing or power information. In this work, we provide a passive tracking system for WiFi signals with an enhanced particle filter using fine-grained power-based ranging. Our proposed particle filter provides an improved likelihood function on observation parameters and is equipped with a modified coordinated turn model to address the challenges in a passive positioning system. The anchor nodes for WiFi signal sniffing and target positioning use software defined radio techniques to extract channel state information to mitigate multipath effects. By combining the enhanced particle filter and a set of enhanced ranging methods, our system can track mobile targets with an accuracy of 1.5m for 50% and 2.3m for 90% in a complex indoor environment. Our proposed particle filter significantly outperforms the typical bootstrap particle filter, extended Kalman filter and trilateration algorithms.
|Item Type:||Report (Report)|
|Division/Institute:||08 Faculty of Science > Institute of Computer Science (INF) > Communication and Distributed Systems (CDS)
08 Faculty of Science > Institute of Computer Science (INF)
|UniBE Contributor:||Li, Zan and Braun, Torsten|
|Subjects:||000 Computer science, knowledge & systems
500 Science > 510 Mathematics
|Publisher:||INF - Institut fur Informatik, Universitat Bern|
|Submitter:||Jonnahtan Eduardo Saltarin de Arco|
|Date Deposited:||18 Jan 2016 16:38|
|Last Modified:||18 Jan 2016 16:38|