Paper
3 May 2010 New generation of naval IRST: example of EOMS NG
Dominique Maltese, Olivier Deyla, Guillaume Vernet, Carole Preux, Gisèle Hilt, Pierre-Olivier Nougues II
Author Affiliations +
Abstract
Modern warships ranging from Air Warfare Destroyers to Offshore Patrol Vessels (OPV) and Fast Patrol Boats have to deal with an ever increasing variety of threats, both symmetric and asymmetric, for self-protection. This last category has introduced new requirements for combat systems sensors and effectors: situation awareness in proximity of the own ship has become a priority, as well as the need for new, lethal or non-lethal effectors for timely and proportional response. Naval Combat Systems (CS) architects are then faced with an alternative: they can either use existing CS sensors, C2 and weapons, or else rely on new, specialized equipments. Both approaches have their pros and cons, with the cost issue not necessarily trivial to assess. In this paper, we present a multifunction system that is both a passive IRST (InfraRed Search and Track) sensor, designed to automatically detect and track air and surface threats, and an Electro Optical Director (EOD), capable of providing identification of objects as well as accurate 3D tracks. Following an introduction reviewing the design goals for the equipment, the EOMS NG processing architecture is described (Image & Tracking Processes). Then, system performances are presented for different scenarios provided from Field Tests.
© (2010) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Dominique Maltese, Olivier Deyla, Guillaume Vernet, Carole Preux, Gisèle Hilt, and Pierre-Olivier Nougues II "New generation of naval IRST: example of EOMS NG", Proc. SPIE 7660, Infrared Technology and Applications XXXVI, 766004 (3 May 2010); https://doi.org/10.1117/12.850066
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Cited by 11 scholarly publications and 3 patents.
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KEYWORDS
Infrared search and track

Image processing

Optical tracking

Sensors

Sun

Detection and tracking algorithms

Infrared imaging

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