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
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.
With large focal plane arrays now widely available, IR detectors have entered their third generation. Performances have
increased dramatically with respect to second-generation, line array detectors, due to the longer integration times
afforded. For surveillance systems such as InfraRed Search and Track (IRST), however, operational requirements
generally impose a very large field of regard in relation to the instantaneous field of view. This characteristic which has
traditionally been obtained through scanning motion for second generation line array detectors must now be rethought to
obtain staring operation for 3rd generation FPA, lest motion blurring be incurred.
This paper presents several approaches considered for naval surveillance systems at Sagem Defense Securite to tackle
this challenge. Three techniques are presented and then compared: fully staring systems, step-and-stare systems, and
finally a "modified" step-and-stare system.
We present an algorithm for tracking remotely sensed objects moving over terrain, using geographic information system information. The proposed model specifically accounts for the influence of the environment (rivers, roads, elevation, etc.) on the propagation of the probability densities. We make a number of assumptions about the motion of targets, but do not assume a priori knowledge of goal locations.