Raytheon Intros New Server-based System to Link 4G LTE and P25 Systems

Raytheon Company has brought out new server-based system that links 4G LTE and P25 systems over the same network.

This methodology works wonders for public safety officials, making them to easy stay connected when they need it most. It can be a firefighter using a legacy FM handheld, an EMS technician with a P25 radio or a police officer with an LTE-linked mobile data computer in a squad car, they can stay well connected.

The new server-based system incorporates well with wide variety of interoperability applications and uses gateways such as Raytheon's recently-released ACU-5000 for local interoperability and also to convert non-IP communications such as from radios, telephones, etc to transfer to the server.

"Interoperability in a large-scale disaster is critical," said Bill Iannacci, director of Civil Communications Solutions for Raytheon's Network Centric Systems business.

Iannacci said that Raytheon's interoperable server solution promotes customer choice, as it integrates the existing equipment of each city and has built-in ability to support next-generation communications technology and this allows municipalities to upgrade hardware, from their preferred vendors, as budgets allow.

Raytheon Company specifically masters in defense, homeland security and other government markets throughout the world.

With 89 years experience, Raytheon offers state-of-the-art electronics, mission systems integration and other capabilities in the areas of sensing; effects; and command, control, communications and intelligence systems, as well as a broad range of mission support services. With headquarters in Waltham, Mass., Raytheon employs 72,000 people worldwide.

The company recently made news for getting selected to support an insider threat research program led by the Defense Advanced Research Projects Agency (DARPA). The goal of the DARPA Anomaly Detection at Multiple Scales (ADAMS) program is to create, adapt and apply technology to the problem of anomaly characterization and detection in large data sets.

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