Fusion architecture for 3D target tracking using IRST and radar measurements

Naidu, VPS (2010) Fusion architecture for 3D target tracking using IRST and radar measurements. Journal of Aerospace Sciences and Technology, 62 (3). pp. 183-195. ISSN 0972-950X

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Seven 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 checked with simulated data. Detailed mathematical expressions are provided which could be useful for algorithm implementation. From this study, it is concluded that CM (Common Measurements) architecture gives state estimates with relatively less uncertainty followed by SVF (State Vector Fusion). IRST gives target states with relatively high uncertainty followed by radar. This shows the necessity of the fusion in tracking system. In all, CM architecture is very simple, easy to implement and can be used in real time.

Item Type: Article
Additional Information: Copyright for this article belongs to Aeronautical Society of India
Uncontrolled Keywords: Fusion architecture;Radar measurement;Kalman filter;Radar data
Subjects: AERONAUTICS > Aeronautics (General)
ENGINEERING > Fluid Mechanics and Thermodynamics
Depositing User: Users 11 not found.
Date Deposited: 07 Feb 2012 11:10
Last Modified: 07 Feb 2012 11:10
URI: http://nal-ir.nal.res.in/id/eprint/10315

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