Blended radio frequency resource manager for UAVs in developmentNews
October 28, 2020
CHANTILLY, Va. Perspecta Inc. announced today that its 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 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 is designed to adaptively control components of radar, electronic warfare, and communications functions on unmanned aerial vehicles (UAVs).
During phase 2 of the program, Perspecta Labs' RF resource manager improved communications throughput, reduced tracking errors, and reached highly efficient decision speeds—achieving 100% of mission objectives across these complex scenarios, according to the company.
Phase 3 work, to be conducted over a 21-month period of performance, will aim to further mature the RF resource manager, including management of diverse third-party RF payload hardware. The company also intends to 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 company claims that the RF resource manager leverages machine learning techniques and aims to provide management across payloads on a single platform and, with distributed extensions, is intended to support cross-platform distributed battle management applications.