Pedestrian localization using IEEE 802.15.4a TDoA Wireless Sensor Network

Author

Müller, Marcel ; Lategahn, Julian ; Röhrig, Christof

Author_Institution

Univ. of Appl. Sci. Dortmund, Dortmund, Germany

fYear

2012

fDate

20-21 Sept. 2012

Firstpage

23

Lastpage

27

Abstract

Location awareness is one of the key prerequisites in any kind of positioning system. Accurate positioning is required in a wide area of applications. One of them is pedestrian localization. In this paper we focus on the task of localization and tracking using a IEEE 802.15.4a CSS network. Data is obtained from Time Difference of Arrival (TDoA) measurements. In order to generate highly accurate position estimates, we employ Bayesian filtering techniques such as the Extended Kalman Filter (EKF) and Unscented Kalman Filter (UKF) together with TDoA error mitigation methods.

Keywords

Bayes methods; Global Positioning System; Kalman filters; Zigbee; direction-of-arrival estimation; nonlinear filters; radio tracking; time-of-arrival estimation; wireless sensor networks; Bayesian filtering techniques; EKF; GPS; IEEE 802.15.4a CSS network; IEEE 802.15.4a TDoA wireless sensor network; TDoA error mitigation methods; UKF; extended Kalman filter; location awareness; pedestrian localization; position estimates; positioning system; time-difference-of-arrival measurements; unscented Kalman filter; Cascading style sheets; Equations; IEEE 802.15 Standards; Mathematical model; Position measurement; Sensors; Wireless sensor networks; IEEE 802.15.4a; Pedestrian Localization; TDOA; WSN; Wireless Sensor Network;

fLanguage

English

Publisher

ieee

Conference_Titel

Wireless Systems (IDAACS-SWS), 2012 IEEE 1st International Symposium on

Conference_Location

Offenburg

Print_ISBN

978-1-4673-4678-8

Type

conf

DOI

10.1109/IDAACS-SWS.2012.6377624

Filename

6377624