Improvements to the ShipIR/NTCS adaptive track gate algorithm and 3D flare particle model

Srinivasan Ramaswamy; David A. Vaitekunas; Willem H. Gunter; Faith J. February

doi:10.1117/12.2268673

3 May 2017 Improvements to the ShipIR/NTCS adaptive track gate algorithm and 3D flare particle model

Srinivasan Ramaswamy, David A. Vaitekunas, Willem H. Gunter, Faith J. February

Proceedings Volume 10178, Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XXVIII; 101780E (2017) https://doi.org/10.1117/12.2268673
Event: SPIE Defense + Security, 2017, Anaheim, CA, United States

Abstract

A key component in any image-based tracking system is the adaptive tracking algorithm used to segment the image into potential targets, rank-and-select the best candidate target, and gate the selected target to further improve tracker performance. Similarly, a key component in any soft-kill response to an incoming guided missile is the flare/chaff decoy used to distract or seduce the seeker homing system away from the naval platform. This paper describes the recent improvements to the naval threat countermeasure simulator (NTCS) of the NATO-standard ship signature model (ShipIR). Efforts to analyse and match the 3D flare particle model against actual IR measurements of the Chemring TALOS IR round resulted in further refinement of the 3D flare particle distribution. The changes in the flare model characteristics were significant enough to require an overhaul to the adaptive track gate (ATG) algorithm in the way it detects the presence of flare decoys and reacquires the target after flare separation. A series of test scenarios are used to demonstrate the impact of the new flare and ATG on IR tactics simulation.

Conference Presentation

Citation Download Citation

Srinivasan Ramaswamy, David A. Vaitekunas, Willem H. Gunter, and Faith J. February "Improvements to the ShipIR/NTCS adaptive track gate algorithm and 3D flare particle model", Proc. SPIE 10178, Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XXVIII, 101780E (3 May 2017); https://doi.org/10.1117/12.2268673

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