DocumentCode :
151615
Title :
SLAM for pseudolite system comprising unsynchronised transmitters
Author :
Patino-Studencka, Lucila ; Thielecke, Jorn ; Rohmer, Gunter
Author_Institution :
Friedrich-Alexander-Univ. Erlangen-Nurnberg, Erlangen, Germany
fYear :
2014
fDate :
8-10 Oct. 2014
Firstpage :
1
Lastpage :
6
Abstract :
In this paper the application of Simultaneous Localization and Mapping (SLAM) algorithms to a proprietary pseudolite system is presented. Time of Arrival measurements of multiple unsynchronised radio transmitters at reference rover positions are combined using an extended Kalman filter, in order to simultaneously localize both transmitters and movable receiver. In the case of unsynchronised transmitters, the SLAM approach must be adapted because the measurements from rover and transmitters are not simultaneously available, so that time constraints of the sensors must be taken into account and the measurements must be processed sequentially. Considerations relating to observability of the state variables are addressed. The efficiency of the algorithm is demonstrated using simulation data.
Keywords :
Kalman filters; SLAM (robots); mobile robots; nonlinear filters; radio receivers; radio transmitters; sensors; time-of-arrival estimation; SLAM; extended Kalman filter; movable receiver; multiple unsynchronised radio transmitters; pseudolite system; sensors; simultaneous localization and mapping algorithms; time of arrival measurements; unsynchronised transmitters; Clocks; Convergence; Global Positioning System; Position measurement; Receivers; Simultaneous localization and mapping; Transmitters; SLAM; sequential Kalman filter;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Sensor Data Fusion: Trends, Solutions, Applications (SDF), 2014
Conference_Location :
Bonn
Type :
conf
DOI :
10.1109/SDF.2014.6954721
Filename :
6954721
Link To Document :
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