Madon, Phiroz H.; Young, Tom; O’Brien, Thomas; Radke, Mark; Vencore Labs Development Team; Test Resource Management Center (International Foundation for Telemetering, 2018-11)
      DoD test ranges are experiencing ever-expanding needs for air-to-ground telemetry bandwidth, and hence are under pressure to manage the telemetry spectrum resource with high efficiency. The Spectrum Management System (SMS) provides test range operations staff with advanced tools for frequency de-confliction and air-to-ground RF link quality prediction for upcoming test flights. Additional features of the system include: automated, algorithmbased frequency de-confliction and assignment; record-keeping and automated archiving of frequency assignments, to be used for spectrum defense; 3-D GIS terrain-based coverage maps, displaying predicted air-to-ground link quality in each part of upcoming flights; determination of opportunities for frequencies reuse. Innovations include: addressing the combinatorial NP-hard problem of frequency assignment by applying multiple real-world constraints in a specified order; using a spectrum white space closest-fit algorithm to minimize spectrum fragmentation; creating space-time-frequency quanta in the database to store RF emissions for rapidly-moving aircraft.

      Madon, Phiroz; Fecko, Mariusz; Ziegler, Robert; Samtani, Sunil; Harasty, Daniel; Shen, John; Painter, Mike; Jones, Charles; Young, Tom; O’Brien, Thomas; et al. (International Foundation for Telemetering, 2018-11)
      DoD flight test ranges need to track telemetry spectrum usage to defend against future sell-offs, as well as operate with high spectral efficiency. The Spectrum Usage Measurement System (SUMS) characterizes spectrum usage and requirements at test ranges, and assesses operational impacts and costs on Test and Evaluation. The system relies on mission planning and scheduling data acquired from test range planning systems, as well as measurements obtained from telemetry receivers and frequency scanning sensors. SUMS key capabilities include: (1) collecting over-the-air evidence of actual assigned frequency usage; (2) combining this data with mission plans to produce an accurate representation of telemetry spectrum usage through the space, time, and frequency dimensions; (3) providing users with a data warehouse of spectrum usage, potentially spanning multiple years, with test ranges across CONUS, and (4) providing data analytics and visualization techniques that combine 3-D terrain-based heat maps with usage metrics charts.