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
    Division/Department: Flight Mechanics and Control Division, Flight Mechanics and Control Division, Flight Mechanics and Control Division, Other
    Depositing User: M/S ICAST NAL
    Date Deposited: 01 Sep 2008
    Last Modified: 07 Jun 2010 12:14
    URI: http://nal-ir.nal.res.in/id/eprint/4567

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