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
Depositing User: Dr VPS Naidu
Date Deposited: 06 Jul 2010 04:54
Last Modified: 06 Jul 2010 04:54
URI: http://nal-ir.nal.res.in/id/eprint/8529

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