You are here

Investing in the Technical Solutions for Tomorrow’s Sensors

Through the Boston-based Radar Assessment and Development Laboratory (RAD Lab), Riverside Research is investing in the development of a powerful radar data analysis toolset called PHAROS: Performance, Health, and Analysis of Radar Operations Suite. For the first time, radar engineers, data analysts, and system maintainers will be capable of rapid, quantitative evaluation of sensor performance and mission success, including efficient, reliable identification and troubleshooting of system anomalies and data artifacts across some of the highest-fidelity data collection radars fielded. PHAROS extracts recorded data from the various sensors supported by the RAD Lab and transforms the data into a common format usable by a robust set of generic analysis tools. User-access to the tools and underlying radar data is provided through a single, intuitive graphical user interface. Designed under our Independent Research and Development (IR&D) Program, PHAROS is easily extensible to future sensors and is already in use by RAD Lab staff for addressing some of the most challenging technical issues facing the newest sensors under development, such as Cobra Judy Replacement/Cobra King.

Riverside Research is also developing RADSim, a robust, high-fidelity generic radar simulator that magnifies our collective radar assessment and algorithm development capabilities. RADSim will allow radar engineers and system maintainers to simulate the core functional elements of technical collection sensors without the use of specialized system hardware or software. In addition to generic functional elements, the specific functional capabilities of the high-fidelity instrumentation sensors will be simulated. Coupled with companion IR&D project, PHAROS, RADSim will expand our ability to diagnose and correct performance issues while serving as a test bed for the development and evaluation of advanced radar algorithms. The modular design of RADSim also creates opportunities to explore potential performance enhancements to supported sensors through inclusion of functional elements (key algorithms) from other sensors.

Both of these advanced toolsets are being designed and developed with Capability Maturity Model Integration (CMMI) level 3 compliance objectives.

© 2017 Riverside Research