Paper
6 October 2011 Infrared decoy and obscurant modelling and simulation for ship protection
Brian Butters, Edgar Nicholls, Roy Walmsley, Richard Ayling
Author Affiliations +
Proceedings Volume 8187, Technologies for Optical Countermeasures VIII; 81870Q (2011) https://doi.org/10.1117/12.898654
Event: SPIE Security + Defence, 2011, Prague, Czech Republic
Abstract
Imaging seekers used in modern Anti Ship Missiles (ASMs) use a variety of counter countermeasure (CCM) techniques including guard gates and aspect ratio assessment in order to counter the use of IR decoys. In order to improve the performance of EO/IR countermeasures it is necessary to accurately configure and place the decoys using a launcher that is trainable in azimuth and elevation. Control of the launcher, decoy firing times and burst sequences requires the development of algorithms based on multi-dimensional solvers. The modelling and simulation used to derive the launcher algorithms is described including the countermeasure, threat, launcher and ship models. The launcher model incorporates realistic azimuth and elevation rates with limits on azimuth and elevation arcs of fire. A Navier Stokes based model of the IR decoy includes thermal buoyancy, cooling of the IR smoke and its extinction properties. All of these factors affect the developing size, shape and radiance of the decoy. The hot smoke also influences the performance of any co-located chaff or other obscurant material. Typical simulations are described against generic imaging ASM seekers using shape discrimination or a guard gate.
© (2011) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Brian Butters, Edgar Nicholls, Roy Walmsley, and Richard Ayling "Infrared decoy and obscurant modelling and simulation for ship protection", Proc. SPIE 8187, Technologies for Optical Countermeasures VIII, 81870Q (6 October 2011); https://doi.org/10.1117/12.898654
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Cited by 8 scholarly publications and 3 patents.
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KEYWORDS
Missiles

Image processing

3D modeling

Infrared imaging

Algorithm development

Signal processing

MATLAB

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