Continuous Active Sonar for Undersea Vehicles Final Report: Input of Factor Graphs into the Detection, Classification, and Localization Chain and Continuous Active SONAR in Undersea Vehicles
Abstract
This report examines the application of factor graphs (graph-based architectures utilizing message passing) to the areas of continuous active sonar (CAS) and unmanned underwater vehicle signal processing. Closed-form factor graph formulations for detection, classification, and tracking are developed, and the effects on bistatic sonar performance of various categories of inter-vehicle messages are quantified. [This report is excerpted from the thesis submitted by Brandi N. Gross in partial fulfillment of the requirements for the degree of Master of Science in Mechanical Engineering at Virginia Polytechnic Institute and State University. This research was conducted under ONR's Naval Undersea Research Program (formerly the University Laboratory Initiative) in 2014-2015 at Virginia Tech (Prof. M. Roan, faculty advisor) and the Applied Research Laboratory of The Pennsylvania State University (Dr. J. Sacha, summer internship supervisor).]
Document Details
- Document Type
- Technical Report
- Publication Date
- Dec 31, 2015
- Accession Number
- AD1009252
Entities
People
- Brandi N. Gross
- John R. Sacha
Organizations
- Pennsylvania State University