If you are walking - slow down.....if you are running, run faster.
Thursday, January 12, 2017
LGS Innovations to support DARPA's TUNA programme
LGS Innovations has secured a contract to support the Defense Advanced Research Projects Agency's (DARPA) tactical undersea network architectures (TUNA) programme.
Under the $1.9m contract, LGS will be responsible for the delivery of model simulations, design, and analysis, as well as scaled development and technology demonstration over a period of 15 months.
LGS Innovations CEO Kevin Kelly said: "The goal of the programme is to ensure that our armed forces retain an information advantage even in contested environments where potential adversaries may attempt to disrupt other communication channels.
"LGS' advanced R&D capabilities will be leveraged to support of our national defence through extreme cutting edge network technology and science."
"The goal of the programme is to ensure that our armed forces retain an information advantage even in contested environments."
LGS Innovations collaborates with Linden Photonics and Tethers to develop the neutrally-buoyant undersea cable for an undersea fibre optic based network.
The DARPA TUNA programme is aimed to temporarily restore tactical data network connectivity in contested environments through the use of novel optical-fibre-based technology.
The programme, currently in the initial phase, focuses on concept and technology development in three technical areas, such as system design, small fibre optic cable systems, and buoy nodes.
In its second phase, the programme will focus on the implementation of an integrated end-to-end network prototype.
In March, DARPA issued a request for information (RFI) for new technologies that will help augment the sensing and classifying capabilities of its anti-submarine warfare (ASW) continuous trail unmanned vessel (ACTUV).
The RFI aims to look for sensor systems and image-processing hardware and software that could help ACTUV and other unmanned surface vessels to detect nearby ships and other objects, and decrease dependence on radar as primary sensor.