Countermeasure effectiveness against an intelligent imaging infrared anti-ship missile

Greer J. Gray; Nabil Aouf; Mark RichardsonBrian ButtersRoy Walmsley

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Countermeasure effectiveness against an intelligent imaging infrared anti-ship missile

机译：Countermeasure effectiveness against an intelligent imaging infrared anti-ship missile

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Ship self defense against heat-seeking anti-ship missiles is of great concern to modern naval forces. One way of protecting ships against these threats is to use infrared (IR) offboard countermeasures. These decoys need precise placement to maximize their effectiveness, and simulation is an invaluable tool used in determining optimum deployment strategies. To perform useful simulations, high-fidelity models of missiles are required. We describe the development of an imaging IR anti-ship missile model for use in countermeasure effectiveness simulations. The missile model's tracking algorithm is based on a target recognition system that uses a neural network to discriminate between ships and decoys. The neural network is trained on shape- and intensity-based features extracted from simulated imagery. The missile model is then used within ship-decoy-missile engagement simulations, to determine how susceptible it is to the well-known walk-off seduction countermeasure technique. Finally, ship survivability is improved by adjusting the decoy model to increase its effectiveness against the tracker.

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来源
《Optical Engineering》 |2013年第2期|026401-1-026401-10|共10页
作者
Greer J. Gray; Nabil Aouf; Mark RichardsonBrian ButtersRoy Walmsley;
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作者单位

Cranfield University at the UK Defence Academy, Department of Informatics and Systems Engineering, Shrivenham, SN6 8LA, United Kingdom;

Meon Technology Ltd., 26 Oaks Coppice, Waterlooville, Hampshire P08 9QR, United Kingdom;

Chemring Countermeasures Ltd., High Post, Salisbury, Wiltshire SP4 6AS, United Kingdom;

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收录信息美国《科学引文索引》(SCI);美国《工程索引》(EI);
原文格式 PDF
正文语种英语
中图分类计量学;
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Countermeasure effectiveness against an intelligent imaging infrared anti-ship missile

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