Naidu, VPS and Girija, G (2005) Fusion of Radar and Infrared Search amp; Track Sensor Data using Kalman Filter. Technical Report. National Aerospace Laboratories, Bangalore, India.
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Abstract
Mathematical Models for radar and IRST sensor are presented. Extended Kalman13; filter is used for tracking and state vector fusion methodology is developed. The13; performance of this algorithm is evaluated using simulated data and performance13; metrics. It is concluded that finite difference method and partial derivative method13; performed similarly. It is also concluded from the results that fusion of IRST and13; radar would improve the tracking performance and reduce the positional uncertainty13; compared to individual trackers.
| Item Type: | Proj.Doc/Technical Report (Technical Report) |
|---|---|
| Uncontrolled Keywords: | IRST;Linearized Measurement Matrix;State Vector13; Fusion;Extended Kalman Filter |
| Subjects: | AERONAUTICS > Aircraft Design, Testing & Performance |
| Division/Department: | Flight Mechanics and Control Division, Flight Mechanics and Control Division |
| Depositing User: | Mrs Manoranjitha M D |
| Date Deposited: | 16 Jan 2009 |
| Last Modified: | 24 May 2010 09:39 |
| URI: | http://nal-ir.nal.res.in/id/eprint/950 |
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