Fusion Architectures for 3D target tracking using Radar and IRST Data

Naidu, VPS and Girija, G Fusion Architectures for 3D target tracking using Radar and IRST Data. In: International Conference on Avionics Systems, 22-23 Feb. 2008, RCI, Hyderabad.

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    Six different architectures are presented to fuse IRST and radar data to track the target in 3D Cartesian coordinates, with the measurements available in polar coordinates. Performance of these architectures is evaluated with simulated data. Detailed mathematical expressions are provided which could be useful for algorithm implementation. From this study, it is concluded that SVF (state vector fusion) architecture provides state estimates with less uncertainty. However, the choice of a particular architecture for fusion of disparate sensor data is trade off between accuracy and computational complexity.

    Item Type: Conference or Workshop Item (Paper)
    Subjects: AERONAUTICS > Aircraft Communication & Navigation
    AERONAUTICS > Avionics & Aircraft Instrumentation
    ENGINEERING > Communications and Radar
    Division/Department: Flight Mechanics and Control Division, Flight Mechanics and Control Division
    Depositing User: Dr VPS Naidu
    Date Deposited: 06 Jul 2010 10:24
    Last Modified: 06 Jul 2010 10:24
    URI: http://nal-ir.nal.res.in/id/eprint/8529

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