Application of particle filter algorithms in an accurate and reliable localization and tracking of WSN's mobile devices

Zevedei, Dalina; Jurian, Mariana; Scutariu, Adrian

doi:10.1109/siitme.2012.6384403

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2015

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“…Particle filters have shown to be very effective and widely used for these purposes [4]. Various applications of PF in Wireless Sensor Networks were discussed in [5].…”

Section: Introductionmentioning

confidence: 99%

Hybrid WiFi/UWB, cooperative localization using Particle Filter

Bargshady

Pahlavan

Alsindi

2015

2015 International Conference on Computing, Networking and Communications (ICNC)

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Indoor navigation using RF signals has attracted tremendous attention in the recent years. However, indoor localization using RF signaling is very challenging and does not provide adequate precision for many applications. In this paper we use Particle Filter (PF) to integrate the Received Signal Strength (RSS) of WiFi and the Time Of Arrival (TOA) of UWB RF signaling for precise cooperative localization in indoor environment. The choice for PF is due to non-linear and Non-Gaussian channel models for RF localization algorithm. We use channel models for the RSS of WiFi and the TOA of UWB. The performance of the PF results are evaluated in a typical indoor scenario and are compared with the Cramér-Rao-Lower-Bound (CRLB) for Hybrid (UWB & WiFi) in Cooperative (COOP) and non-Cooperative (NCOOP) modes.

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“…Particle filters have shown to be very effective and widely used for these purposes [4]. Various applications of PF in Wireless Sensor Networks were discussed in [5].…”

Section: Introductionmentioning

confidence: 99%