Paper
20 September 1989 A Closed-Loop Imaging Infrared-Based Tracker For Fire Control
William Marshall, Peter Dahl, Russell Richardson, Mike Klein
Author Affiliations +
Abstract
This report presents a closed-loop automatic tracker for imaging IR-based fire control. A tank target state estimation filter is discussed and major tradeoffs in the implementation of Kalman filters and tracker rate-aiding are given. Tank target maneuver capabilities are surveyed and results are incorporated in the filter. The developed augmented Kalman filter is based upon nine filter states and three measurements. Simulation studies show acceptable target prediction accuracies for tank targets even for constant Kalman gains. Gain scheduling is performed during filter initialization or when a "target maneuver" is detected from testing the statistics of filter residuals. The augmented Kalman filter uses range and line-of-sight (LOS) angular rate measurements obtained from platform-mounted range and angular rate sensors. Filtered inertial angular rates are used for tracker rate-aiding before and after "breaklock"-if this occurs (e.g., if target gets occluded). During the tracker "coast-until-reacquisition" phase the propagated filter rates are used to command the gimbals.
© (1989) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
William Marshall, Peter Dahl, Russell Richardson, and Mike Klein "A Closed-Loop Imaging Infrared-Based Tracker For Fire Control", Proc. SPIE 1110, Imaging Infrared: Scene Simulation, Modeling, and Real Image Tracking, (20 September 1989); https://doi.org/10.1117/12.960741
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CITATIONS
Cited by 3 scholarly publications.
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KEYWORDS
Filtering (signal processing)

Sensors

Video

Infrared imaging

Infrared radiation

Automatic target recognition

Electronic filtering

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