DocumentCode :
1698535
Title :
Finding sensor trajectories for TDOA based localization — Preliminary considerations
Author :
Kaune, Regina
Author_Institution :
Dept. SDF, Univ. of Bonn, Wachtberg, Germany
fYear :
2012
Firstpage :
55
Lastpage :
59
Abstract :
Time Difference of Arrival (TDOA) measurements are gained in a network of sensors where a minimum of two sensors is required. Sensors receive the signal of an emitting target and determine the Time of Arrival (TOA) of the signal. Calculating the difference between pairs of TOAs yields TDOA measurements which describe hyperbolae or hyperboloids as possible target locations. The Cramer Rao Lower bound (CRLB) gives the optimal attainable localization accuracy based on a measurement sequence. It depends on the measurement function which reflects the sensors-emitter geometry, the measurement error and the number of measurements. The CRLB can be used to find future trajectories for moving sensors. In this paper, a sensor pair consisting of a moving and a stationary sensor is investigated which takes TDOA measurements of a stationary emitting target. The future trajectory of the moving sensor is determined based on target localization performance.
Keywords :
sensors; time-of-arrival estimation; Cramer Rao lower bound; TDOA based localization; hyperbolae; hyperboloids; measurement error; measurement function; measurement sequence; moving sensors; optimal attainable localization accuracy; sensor pair; sensor trajectory; sensors emitter geometry; stationary emitting target; stationary sensor; target localization performance; target location; time difference of arrival measurement; Approximation methods; Geometry; Optimization; Target tracking; Time measurement; Trajectory; Uncertainty; CRLB; TDOA; localization; optimization; trajectories;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Sensor Data Fusion: Trends, Solutions, Applications (SDF), 2012 Workshop on
Conference_Location :
Bonn
Print_ISBN :
978-1-4673-3010-7
Type :
conf
DOI :
10.1109/SDF.2012.6327908
Filename :
6327908
Link To Document :
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