Sensor and Tracker Requirements Development for Sense and Avoid Systems for Unmanned Aerial Vehicles
Jovan D. Bošković, Joseph A. Jackson, Raman K. Mehra · 2013
Sense and Avoid (SAA) systems for Unmanned Aerial Vehicles (UAV) represent a complex collection of interacting modules within a feedback control loop. Due to the system complexity, the development of associated requirements poses a strong technical challenge. Typical SAA systemmodules include sensors and associated trackers, measurement-to-track association and prediction modules, and decision making and avoidance maneuver generation subsystems. Top level system performance metrics is commonly expressed in terms of probability of avoidance of Near Mid Air Collisions (NMAC). An important question in this context is as to how to flow down this requirement to other SAA subsystems and components, including the minimum maneuverability requirements for the UAV. In this paper we show through several simplified examples how the sensor and tracker requirements can be derived based on computer simulation studies combining worst-case analysis with exhaustive Monte-Carlo search.