Accession Number : AD1046401


Title :   Randomized path optimization for thevMitigated counter detection of UAVS


Descriptive Note : Technical Report


Corporate Author : Naval Postgraduate School Monterey United States


Personal Author(s) : Heaton,Mitchell


Full Text : https://apps.dtic.mil/dtic/tr/fulltext/u2/1046401.pdf


Report Date : 01 Jun 2017


Pagination or Media Count : 83


Abstract : UAVs provide exceptional capabilities and a myriad of potential mission sets, but the ability to disguise where the aircraft takes off and lands would expansively advance the abilities of UAVs. This thesis describes the development of a nonlinear estimation algorithm to predict the terminal location of an aircraft and a trajectory optimization strategy to mitigate the algorithms success. Vehicle paths are generated using a matrix-based quadratic trajectory computation method. The paths are then tracked by recursively updating time-based observations of vehicle position using Bayesian filtering. The KL divergence is used to compare the probability density of aircraft termination to a normal distribution around the true terminal location. Results show that the optimal conditions to obfuscate path include waypoints at or beyond the vehicle terminal location, variations in velocity throughout the time of flight, and the minimal use of an aircrafts maximum potential time of flight.


Descriptors :   unmanned aerial vehicles , optimization , MOTION PLANNING , trajectories , algorithms , predictions


Subject Categories : Pilotless Aircraft


Distribution Statement : APPROVED FOR PUBLIC RELEASE