Loss of Signal Prediction

We propose and present Loss of Signal (LOS) predictor technology for International Space Station (ISS) operations. Our prototype technology transforms the ISS Antenna Manager software tool used by flight controllers on console in the ISS mission control center (MCC) into a cognitive communication system that predicts off-nominal unscheduled loss of communication between the ISS and MCC. The system learns complex signal blockage configurations far too complex for the human to process in real-time. The cognitive IAM tool removes the subjective nature of LOS calls by flight controllers in the flight control room and provides advanced warning to the flight control team (who can subsequently inform the crew) of forthcoming comm outages that produce loss of telemetry, audio/video, and payload data. Initially, this technology will be implemented for ISS operations in FRC-1 with the anticipation of developing an onboard cognitive communication system for future missions equipped with advanced command and data handling systems (e.g. neuromorphic processors). This technology can be characterized as actionable AI since autonomous systems can use this communication link classification as input to higher level decision making.