Improved tracking capability and efficient radar allocation through the fusion of radar and infrared search-and-track observations

Samuel S. Blackman; Robert J. Dempster; Stacy H. Roszkowski; Doreen M. Sasaki; Paul Frank Singer

doi:10.1117/1.602506

1 May 2000 Improved tracking capability and efficient radar allocation through the fusion of radar and infrared search-and-track observations

Samuel S. Blackman; Robert J. Dempster; Stacy H. Roszkowski; Doreen M. Sasaki; Paul Frank Singer

Author Affiliations +

Optical Engineering, 39(5), (2000). https://doi.org/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.

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Samuel S. Blackman, Samuel S. Blackman, Robert J. Dempster, Robert J. Dempster, Stacy H. Roszkowski, Stacy H. Roszkowski, Doreen M. Sasaki, Doreen M. Sasaki, Paul Frank Singer, 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). https://doi.org/10.1117/1.602506 . Submission:

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