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
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