Hybrid WiFi/UWB, cooperative localization using Particle Filter

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 Str...

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Bibliographic Details
Published in2015 International Conference on Computing, Networking and Communications (ICNC) pp. 1055 - 1060
Main Authors Bargshady, Nader, Pahlavan, Kaveh, Alsindi, Nayef A.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.02.2015
Subjects
Channel models
COOP
CRLB
Distance measurement
IEEE 802.11 Standards
LOS
NCOOP
NLOS
Nonlinear optics
Particle filters
Radio frequency
RSS
TOA
UWB
WiFi
Wireless networks
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Summary: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.
DOI:10.1109/ICCNC.2015.7069494