1 May 2000 Improved tracking capability and efficient radar allocation through the fusion of radar and infrared search-and-track observations
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Optical Engineering, 39(5), (2000). doi:10.1117/1.602506
Abstract
The benchmark problem addresses the efficient allocation of an agile-beam radar in the presence of highly maneuverable targets and radar ECM. The multisensor benchmark tracking solution is aided by the presence of a scanning infrared search-and-track (IRST) system. This paper presents methods for applying a tracker with interacting multiple- model (IMM) filtering and multiple-hypothesis tracking (MHT) data association to this multiple-sensor tracking and resource allocation problem. It presents a hybrid multisensor tracking architecture in which an IMM- MHT tracker operating on IRST data provides the global IMM-MHT tracker with selected observations. Simulation results quantify the potential improvement from the use of advanced tracking methods and IRST data to enhance agile-beam radar tracker capability.
Samuel S. Blackman, Robert J. Dempster, Stacy H. Roszkowski, Doreen M. Sasaki, Paul Frank Singer, "Improved tracking capability and efficient radar allocation through the fusion of radar and infrared search-and-track observations," Optical Engineering 39(5), (1 May 2000). http://dx.doi.org/10.1117/1.602506
JOURNAL ARTICLE
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KEYWORDS
Radar

Infrared search and track

Data modeling

Performance modeling

Sensors

Signal to noise ratio

Logic

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