CHANTILLY, Va., Oct. 27, 2020 /PRNewswire/ --Perspecta Inc. (NYSE: PRSP), announced today that its innovative applied research arm, Perspecta Labs, has received a contract option and modification for work on phase 3 of the U.S. Defense Advanced Research Projects Agency's (DARPA's) Converged Collaborative Elements for radio frequency (RF) Task Operations (CONCERTO) program. These awards build upon successful phase 2 implementation and demonstration and have a combined value of $5.1 million.
The objective of the CONCERTO program is to develop, implement and demonstrate a converged RF resource manager that adaptively controls components of radar, electronic warfare and communications functions on unmanned aerial vehicles (UAVs). During phase 2 of the program, Perspecta Labs' RF resource manager significantly outperformed conventional resource management techniques when tested in complex, government-defined scenarios. The technology improved communications throughput, reduced tracking errors and reached unprecedented decision speeds—achieving 100% of mission objectives across these complex scenarios.
Phase 3 work, to be conducted over a 21-month period of performance, will further mature and advance Perspecta Labs' RF resource manager, including management of diverse third-party RF payload hardware. The company will also demonstrate the capability, scalability and agility of its solution in flight tests on a UAV platform to enable technology adoption by other programs of record. The additional contract modification supports a six-month effort to develop distributed extensions of the solution.
"Perspecta Labs' RF resource manager changes the paradigm of UAV performance by bringing better, faster, more accurate command and control to warfighters while providing the critical RF dominance needed by the U.S. military to ensure operational success," said Petros Mouchtaris, Ph.D., president of Perspecta Labs. "We are excited to mature and demonstrate our solution on UAVs to meet multi-function needs, support multi-platform operations and achieve distributed battle management objectives."
Perspecta Labs' innovative RF resource manager provides a scalable, extensible and agile solution, leveraging sophisticated machine learning techniques, to meet stringent, real-time performance requirements and achieve complex objectives. It provides management across multiple payloads on a single platform and, with distributed extensions, supports cross-platform distributed battle management applications to enable mission success.
About Perspecta Inc.
At Perspecta (NYSE: PRSP), we question, we seek and we solve. Perspecta brings a diverse set of capabilities to our U.S. government customers in defense, intelligence, civilian, health care and state and local markets. Our 280+ issued, licensed and pending patents are more than just pieces of paper, they tell the story of our innovation. With offerings in mission services, digital transformation and enterprise operations, our team of nearly 14,000 engineers, analysts, investigators and architects work tirelessly to not only execute the mission, but build and support the backbone that enables it. Perspecta was formed to take on big challenges. We are an engine for growth and success and we enable our customers to build a better nation. For more information about Perspecta, visit perspecta.com.
This press release may contain forward-looking statements. These forward-looking statements are made on the basis of the current beliefs, expectations and assumptions of the management of Perspecta and are subject to significant risks and uncertainty. Readers are cautioned not to place undue reliance on any such forward-looking statements. All such forward-looking statements speak only as of the date they are made, and Perspecta undertakes no obligation to update or revise these statements, whether as a result of new information, future events or otherwise. Although Perspecta believes that the expectations reflected in these forward-looking statements are reasonable, these statements involve a variety of risks and uncertainties that may cause actual results to differ materially from what may be expressed or implied in these forward-looking statements.