DocumentCode :
353922
Title :
Bearings-only tracking using data fusion and instrumental variables
Author :
Chan, Y.T. ; Rea, T.A.
Author_Institution :
Dept. of Electr. & Comput. Eng., R. Mil. Coll. of Canada, Kingston, Ont., Canada
Volume :
1
fYear :
2000
fDate :
10-13 July 2000
Abstract :
This paper presents a recursive Measurement Instrumental Variables Bearings-Only Tracking (MIV-BOT) method for a stationary observer. A smoothing operation directly fuses multi-sensor bearing measurements by exchanging the measurements as the instruments in a pseudo linear estimator. The MIV-BOT formulation produces a smoothed velocity estimate parameterized to any position along the target trajectory, which is found from a single laser range finder measurement. Target range predictions, derived from the smoothed two-state velocity estimate, are then used as range measurements in two parallel Kalman filters. The result is a recursive, passive and unbiased fusion scheme. The theoretical development is investigated by Monte Carlo simulation in short tracking scenarios. Experimental results show that the fusion scheme produces reliable estimates for non-manoeuvring targets.
Keywords :
Kalman filters; Monte Carlo methods; parameter estimation; sensor fusion; target tracking; Kalman filters; Monte Carlo simulation; bearings only tracking; data fusion; laser range finder measurement; measurement instrumental variables; multi-sensor bearing measurements; pseudo linear estimator; smoothing operation; stationary observer; two-state velocity estimate; Fuses; Instruments; Laser fusion; Laser theory; Parameter estimation; Position measurement; Smoothing methods; Target tracking; Trajectory; Velocity measurement;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Fusion, 2000. FUSION 2000. Proceedings of the Third International Conference on
Conference_Location :
Paris, France
Print_ISBN :
2-7257-0000-0
Type :
conf
DOI :
10.1109/IFIC.2000.862661
Filename :
862661
Link To Document :
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