Fusion of Multiple Sensor Data to Recognise Moving Objects in Wide Area Motion Imagery

Fehlmann, Shannon; Pontecorvo, Carmine; Booth, David T.; Janney, Pranam; Christie, Robert; Redding, N.J.; Royce, Michael; Fiebig, Merrilyn J.

doi:10.1109/dicta.2014.7008110

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Cited by 4 publications

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“…The observers and filters described in this paper may be suitable for point-target tracking and low-level imageprocessing functions (respectively) within a computer-vision system, for video moving-target indication, on an airborne platform [32], [35], [36]. Fixed-gain trackers are suitable in these systems, for the following reasons: High data-rates (e.g.…”

Section: A Applicationmentioning

confidence: 99%

Fixed-Gain Augmented-State Tracking-Filters

Kennedy¹

2017

Preprint

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A procedure for the design of fixed-gain tracking filters, using an augmented-state observer with signal and interference subspaces, is proposed. The signal subspace incorporates an integrating Newtonian model and a second-order maneuver model that is matched to a sustained constant-g turn; the deterministic interference model creates a Nyquist null for smoother track estimates. The selected models provide a simple means of shaping and analyzing the (transient and steady-state) response of tracking-filters of elevated order.

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Section: A Applicationmentioning

confidence: 99%