Journal ArticleDOI
Adaptive tracking of maneuvering targets
J. Demetry,H. Titus +1 more
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TLDR
A means is suggested heuristically by which Kalman sequential estimation can be made adaptive to target maneuvers without the sacrifice of tracking accuracy in the nonmaneuvering portions of a trajectory.Abstract:
A means is suggested heuristically by which Kalman sequential estimation can be made adaptive to target maneuvers without the sacrifice of tracking accuracy in the nonmaneuvering portions of a trajectory. The adaptation requires backsliding in the gain schedule and reprocessing of the most recent several measurements. These steps are initiated by a maneuver detector which senses a buildup of bias in the filter's estimates.read more
Citations
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Journal ArticleDOI
Adaptive Tracker Field-of-View Variation Via Multiple Model Filtering
Peter S. Maybeck,Robert I. Sulzu +1 more
TL;DR: In this article, the authors investigated adaptive estimation using multiple model filtering as a means of changing the field of view as well as the bandwidth of an infrared image tracker when target acceleration can vary over a wide range.
Journal ArticleDOI
Information type filters for tracking a maneuvering target
M. Farooq,Stephen Bruder +1 more
TL;DR: These adaptive information-type filters are described in structurally decoupled forms, thereby greatly reducing the computational requirements while rendering the filters amenable to implementation on parallel processors.
Journal ArticleDOI
On Tracking a Maneuvering Target in Clutter
K. Birmiwal,Y. Bar-Shelom +1 more
TL;DR: In this article, a new technique for tracking a maneuvering target in a cluttered environment is developed, which does not rely on a statistical description of the maneuver as a random process, instead, the state model for the target is changed when a maneuver is detected.
Journal ArticleDOI
Enhancements to a multiple model adaptive estimator/image-tracker
D.M. Tobin,Peter S. Maybeck +1 more
TL;DR: In this paper, three major enhancements to a previously devised multiple model adaptive estimator (MMAE) for target image tracking are developed and analyzed, allowing some of the elemental filters to have rectangular fields of view and to be tuned for target dynamics that are harsher in one direction than others.
Book ChapterDOI
Adaptive tracking of dynamic airborne vehicles based on (flir) image plane intensity data
TL;DR: This research investigates a tracker able to handle "multiple hot-spot" targets, in which digital and/or optical signal processing is employed on the FLIR data to identify the underlying target shape.