SMART Embedded Computing has jointed the Sensor Open System Architecture (SOSA) Consortium in support of U.S. Army, Navy and Air Force efforts to develop an open command, control, communications, computer intelligence, surveillance and reconnaissance (C4ISR) weapons system standard. The SOSA Consortium, which is managed by The Open Group, has members from all three branches of the military, prime contractors, and embedded computer suppliers, teaming to develop an open standard that can be applied for compatibility of embedded computing systems in commercial and military applications. So far, the working SOSA standard has been based on variants of the Open VPX embedded computing standard.
The company is a long-time innovative supplier of single board computers (SBCs) and other modular digital electronic components and subsystems based on high-speed processors. As an example, the model MVME8105 is a 6U VME SBC based on a 2-GHz processor and as much as 4 GB DDR3, 512 kb MRAM nonvolatile memory and 8 GB eMMC NAND flash memory. As a member of the SOSA Consortium, the company will contribute its expertise in design and manufacturing to achieve the compact computing power needed for tri-service next-generation electronic weapons systems, such as modular communications, EW, radar and signal intelligence (SIGINT) systems.
“We look forward to participating in this exciting initiative and contributing to the transition of more C4ISR and sensor systems to an open systems architecture,” said Todd Wynia, vice president of Product Management, SMART Embedded Computing. “We have a distinguished heritage with the DNA of companies that pioneered open standards for embedded systems, including Motorola Computer Group, Force Computers and Pro-Log. Our long history of supplying computing solutions into defense applications includes almost 40 years of providing VME boards and the growing adoption of open, standards-based ATCA technology into C4ISR applications. This experience makes the SOSA consortium a natural fit for the expertise of SMART Embedded Computing.”