Title :
TDOA Positioning Based on Factor Graphs
Author :
Mensing, Christian ; Plass, Simon
Author_Institution :
Inst. of Commun. & Navigation, German Aerosp. Center, Wessling
Abstract :
In this paper, we introduce a factor graph based positioning algorithm in wireless cellular networks using time difference of arrival (TDoA) measurements provided by the base stations. The localization process of the mobile station results in a nonlinear estimation problem which cannot be solved analytically. The well-known iterative Gauss-Newton based method as standard solution fails to converge for certain geometric constellations and bad initial values, and thus, it is not suitable for a general processing in cellular networks. Hence, we propose a TDoA positioning algorithm in the factor graphs framework. We show that this approach achieves very accurate positioning estimates by moderate computational complexity
Keywords :
Newton method; cellular radio; computational complexity; direction-of-arrival estimation; graph theory; nonlinear estimation; time-of-arrival estimation; TDOA positioning; computational complexity; factor graphs; iterative Gauss-Newton based method; localization process; mobile station; nonlinear estimation problem; time difference of arrival; wireless cellular networks; Base stations; Iterative algorithms; Iterative methods; Land mobile radio cellular systems; Least squares methods; Newton method; Position measurement; Recursive estimation; Time difference of arrival; Time measurement;
Conference_Titel :
Personal, Indoor and Mobile Radio Communications, 2006 IEEE 17th International Symposium on
Conference_Location :
Helsinki
Print_ISBN :
1-4244-0329-4
Electronic_ISBN :
1-4244-0330-8
DOI :
10.1109/PIMRC.2006.254058