Mercury Race for Alenia Radar systems
Chemlsford 18 June 2001 Marconi Systems will use Mercury s RACE++ PowerStream
MP-510 systems for the European Multifunction Phased Array Radar
(EMPAR). EMPAR will be deployed on the next generation of air defense frigates for the French and Italian navies. Orders received, valued at
$7.4 million, are for development and production of initial systems.
Future orders are anticipated.
Mercury currently has a long-term agreement with Alenia Marconi
Systems Limited to provide digital signal processing solutions.
Mercury's PowerStream MP-510 systems represent the most advanced and
scalable embedded systems in the market. A single PowerStream MP-510
system scales up to 180 "G4" processors in a single chassis and
provides more than four times the interprocessor communication
bandwidth of conventional RACE++ systems.
"The development of EMPAR demonstrates the strength of Alenia
Marconi Systems in delivering naval fire-control radar systems," said
Jay Bertelli, president and chief executive officer of Mercury
Computer Systems. "Alenia Marconi is a world leader in naval systems,
and is a leading supplier to many NATO countries. We look forward to
working with Alenia Marconi and to shipping our new PowerStream
systems, which will provide the robust, mission-critical computing
power required by its EMPAR systems."
EMPAR is one of the most progressive radar systems in the world,
and has been designed to detect and track a variety of targets ranging
from surface vessels to large aircraft to stealthy missiles. The radar
performs simultaneous 3D target search and tracking while providing
up-link transmissions for the ship's defensive missiles. Speeds of
targets being tracked will vary from slow surface targets to air
targets travelling at several times the speed of sound. Heights of air
targets can vary from high-altitude reconnaissance aircraft to
sea-skimming missiles only meters above the water's surface. Mercury's
RACE++ multicomputers will provide the high-performance, real-time
signal processing necessary for the system to analyze and adapt its
mode of operation from task to task in order to optimize performance
for different scenarios in severe environmental conditions.
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