What is it about?
Target tracking by means of any platform, be it radar or a camera, is always prone to errors. This work presents a method based on Kalman Filter to reduce that error. It has wide applications in air-defense, civil aviation, flight control etc
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Why is it important?
It reduces the inherent errors in measuring devices without employing any additional hardware.
Perspectives
This is a very basic work to extend application of Kalman Filter to cases where sampling time is fairly low.
Waqar Ahmed Qureshi
Politecnico di Torino
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This page is a summary of: An Efficient Approach for Target Tracking and Error Minimization by Kalman Filtering Technique, April 2007, Institute of Electrical & Electronics Engineers (IEEE),
DOI: 10.1109/icee.2007.4287361.
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