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

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

doi:10.1117/12.2268673

Cited by 2 publications

(2 citation statements)

References 2 publications

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“…Involvement in a recent NATO Systems Concepts and Integration (SCI) Task Group on EO and IR Countermeasures against Anti-ship Missiles (SCI-224) has resulted in significant improvements to the seeker and countermeasure capabilities of the software. The development of a new adaptive track gate algorithm and a new 3D flare particle model have already been presented at previous SPIE Defence and Security Proceedings ( [11], [12], [13]). A sample screen from the current production release of ShipIR/NTCS (v4.2) is shown in Figure 13.…”

Section: Detection Analysismentioning

confidence: 99%

Sensitivity of infrared ship signature analysis to climatic data sampling methods

Vaitekunas

Yoon

Cho

2023

Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XXXIV

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Numerous studies have been conducted over the past decade to adequately sample the large amount of measured marine climate data for input to the design of a new naval surface combatant. Some of these involve the direct use of actual measured data (Vaitekunas and Kim, 2013) while others have reduced the complexity of the problem by focussing on the highly correlated data (e.g., air-sea temperature difference) while assuming the low to medium correlated data are simply uncorrelated (Cho, 2017). This paper will compare the two methods for a large data set off the Korean peninsula, spanning 5 years and 17 buoy locations. A follow-on analysis will compare the sensitivity of IR signature and IR susceptibility of a candidate ship (unclassified ShipIR model of a DDG class) to the variation in size, number of locations, and time span of the marine data being sampled.

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Section: Detection Analysismentioning

confidence: 99%

Sensitivity of infrared ship signature analysis to climatic data sampling methods

Vaitekunas

Yoon

Cho

2023

Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XXXIV

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Section: Introductionmentioning

confidence: 99%

Validation of ShipIR (v4.2)

Vaitekunas

Aleksandrov

2023

Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XXXIV

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Numerous improvements have been made to various sub-models in the NATO-standard and USN accredited naval ship infrared signature model (ShipIR) since its last validation in SPIE using ShipIR (v3.2). These include upgrades to MODTRAN5 and MODTRAN6 for the sun, sky, and atmosphere models, and various fixes and improvements to the sea model: corrections to the Fresnel sea reflectance formula (v3.3a), empirical 2nd-order hiding (v3.4), and a recent fix to the sea surface roughness slope distribution (v4.2). This paper will revisit the previous experimental results, used to validate ShipIR (v3.2), first comparing these results against the steady-state version of the thermal solver in ShipIR (v4.2) and complementing these with the transient thermal solver introduced in ShipIR (v4.0).

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

Cited by 2 publications

References 2 publications

Sensitivity of infrared ship signature analysis to climatic data sampling methods

Sensitivity of infrared ship signature analysis to climatic data sampling methods

Validation of ShipIR (v4.2)

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