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). 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.

Citation Download Citation

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). https://doi.org/10.1117/1.602506

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