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Adaptive tracking of maneuvering targets

Authors: Demetry, James S.; Titus, Harold A.;

Adaptive tracking of maneuvering targets

Abstract

The requirements of a track-while-scan radar data processing scheme are stated from the point of view of the evader in a pursuit-evasion game. The rules of the game, determined in part by the nature of the pursuer's weapons, are such that the evader must be able to discriminate reliably between straight-line and maneuvering pursuer motion. A suggested method for such discrimination is tested by simulation. The method employs bias-sensitive maneuver detection and gain-adaptive discrete Kalman filtering. Also tested is a smoothing scheme for establishing long-term trends in a pursuer's maneuvering track. The outcome of both tests indicate that the suggested processing methods may be useful in the formulation of fire control policies for destruction of maneuvering targets. (Author)

Navy Department, Naval Weapons Center, Project Order No. 8-0022

http://archive.org/details/adaptivetracking00deme

Keywords

PAYLOAD, SYSTEMS ENGINEERING, SYSTEMS APPROACH, MARINE ENGINEERING, PATROL CRAFT, COAST GUARD SHIPS.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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