Author : Ethan W. Doherty
Publisher :
ISBN 13 :
Total Pages : 80 pages
Book Rating : 4.:/5 (993 download)
Book Synopsis Path Planning for Reduced Identifiability of Unmanned Surface Vehicles Conducting Intelligence, Surveillance, and Reconnaissance by : Ethan W. Doherty
Download or read book Path Planning for Reduced Identifiability of Unmanned Surface Vehicles Conducting Intelligence, Surveillance, and Reconnaissance written by Ethan W. Doherty and published by . This book was released on 2017 with total page 80 pages. Available in PDF, EPUB and Kindle. Book excerpt: Unmanned Surface Vehicles (USVs) provide the Navy with the capability to perform many dull, dirty, and dangerous operations. Intelligence, Surveillance, and Reconnaissance (ISR) in hostile areas has been identified as one of the mission areas where USVs can be particularly effective. These missions involve having a vessel enter enemy waters in order to gather information about the adversary's coastal waterways, naval vessels, and maritime installations. The objective of this research is to plan paths within hostile waters that a USV can follow in order to conduct ISR missions without being identified as a suspicious vessel. This involves the two competing objectives of gathering high quality intelligence and avoiding identification by the adversary. This research focuses on the pre-mission planning of the path that a USV should follow in order to conduct an ISR mission. The USV will attempt to blend into the normal maritime traffic by mimicking the behavior of the vessels within its area of operations. Automatic Identification System (AIS) transmissions from ships in the area of interest are used to determine the normal traffic behavior. This behavior is then integrated into the framework of an optimal control problem in order to solve for the USV's ideal path. Within this framework, a cost function models the USV's mission objectives of collecting intelligence and avoiding identification DIDO software then solves the optimal control problem for candidate solutions. These potential solution paths are first validated by checking a number of their mathematical characteristics. The paths are then evaluated in order to determine the quality of the intelligence gathered by the USV and its risk of identification during its mission. This path planning process is tested on a number of sample missions in order to verify its suitability at developing ISR mission paths for USVs operating in a range of geographic areas.