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Lockheed wins $97 million support contract for engineering service of ISIS from U.S
Our Bureau
Fri, Jul 16, 2010 14:40 CET
Lockheed Martin Maritime Systems and Sensors, Manassas, Va., is being awarded a $97,172,882 cost-plus-incentive-fee modification to previously awarded contract (N00024-09-C-6247) to exercise an option for engineering service support of the AN/BVY-1 Integrated Submarine Imaging System (ISIS).
Services will include design, development, testing, reverse engineering, technology insertion/refreshment, engineering services, field engineering services, and system support.
The ISIS provides mission critical, all-weather, visual, and electronic search, digital image management, indication, warning, and platform architecture interface capabilities for attack submarine (nuclear propulsion) (SSN) - SSN688 (Los Angeles class); SSN 21 (Seawolf class); submersible, ship, guided, nuclear (SSGN Ohio class); and SSN 774 (Virginia class) submarines with potential for ship, submersible, ballistic, nuclear (SSBN) (Trident class) and potentially other submarines.
ISIS rolls-up existing components and near term capabilities, and provides a robust architecture for efficiently inserting future capabilities as they become available, including items leveraged from the SSN 774 (Virginia) class photonics program.
Services will include design, development, testing, reverse engineering, technology insertion/refreshment, engineering services, field engineering services, and system support.
The ISIS provides mission critical, all-weather, visual, and electronic search, digital image management, indication, warning, and platform architecture interface capabilities for attack submarine (nuclear propulsion) (SSN) - SSN688 (Los Angeles class); SSN 21 (Seawolf class); submersible, ship, guided, nuclear (SSGN Ohio class); and SSN 774 (Virginia class) submarines with potential for ship, submersible, ballistic, nuclear (SSBN) (Trident class) and potentially other submarines.
ISIS rolls-up existing components and near term capabilities, and provides a robust architecture for efficiently inserting future capabilities as they become available, including items leveraged from the SSN 774 (Virginia) class photonics program.
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