Data association and fusion algorithms for tracking in presence of measurement loss

Naidu, VPS and Girija, G and Raol, JR and Appavu, Raj R (2002) Data association and fusion algorithms for tracking in presence of measurement loss. In: Symposium on Modern Trends in Radar Technology, RADSYM-2002, 2002, Jamnagar.

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Abstract

Tracking on multi-sensor multi-target (MSMT) scenario is a complex and difficult tasks due to the uncertainties in the origin of observations. This requires appropriate gating and data association procedures to associate measurements with targets. A PC MATLAB program, based on track oriented approach, is evaluated which uses Nearest Neighbour kalman filter (NNKF) and Probabilities Data association filter (PDAF)for tracking multiple targets from data of multiple sensors.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Fusion algorithm;Measurement loss;Uncertainty measurement; Track management
Subjects: MATHEMATICAL AND COMPUTER SCIENCES > Computer Operations and Hardware
MATHEMATICAL AND COMPUTER SCIENCES > Computer Programming and Software
Depositing User: Users 90 not found.
Date Deposited: 01 Sep 2008
Last Modified: 07 Jun 2010 06:44
URI: http://nal-ir.nal.res.in/id/eprint/4567

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