Multiple-Trajectory-Prediction (MTP) algorithm for UAS's Sense And Avoid (SAA) operation

This paper investigates the Sense And Avoid (SAA) system for Unmanned Aircraft Systems (UASs) with a Multiple-Trajectory-Prediction (MTP) algorithm that can potentially operate in all categories defined by the U.S. Federal Aviation Administration (FAA) [1]. The MTP algorithm selects avoidance maneuvers for the aircraft to obtain the maximum separation by running simulations in an on-board SAA computer. The algorithm searches for the best maneuver parameters using the data from advanced surveillance systems such as the Automatic Dependent Surveillance-Broadcast (ADS-B). The proposed SAA system with MTP algorithm could be used as the Common Algorithm (CA) for UAS SAA operations with lower cost and higher accuracy compared to the existing systems such as TCAS.