JOURNAL ARTICLE

<title>Kalman filter tracker</title>

William B. DeShetlerJames D. Dillow

Year: 2001 Journal:   Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE Vol: 4376 Pages: 77-87   Publisher: SPIE

Abstract

A Kalman Filter tracker algorithm is developed to increase track accuracy in the presence of scintillation. A simulation is developed which allows comparison of the Kalman Filter tracker to a Centroid tracker. This paper describes the development of the Kalman Filter tracker algorithm and the results of the simulation effort. The Kalman Filter Tracker formulation is described and sensitivity analyses are performed. The Kalman Filter is exercised on MIT Lincoln Lab data for comparison to real data and other algorithms. The results are discussed.

Keywords:
Kalman filter Fast Kalman filter Computer science Extended Kalman filter Alpha beta filter Invariant extended Kalman filter Tracking (education) Ensemble Kalman filter Computer vision Centroid Artificial intelligence Algorithm Moving horizon estimation

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Topics

Target Tracking and Data Fusion in Sensor Networks
Physical Sciences →  Computer Science →  Artificial Intelligence
Inertial Sensor and Navigation
Physical Sciences →  Engineering →  Aerospace Engineering
Advanced Computational Techniques and Applications
Physical Sciences →  Computer Science →  Artificial Intelligence

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