Complementary Advanced Fusion Exploration
Abstract
This report documents work on an in-house effort that explored new mathematical and physical concepts to be applied to fusion. The beginning of the effort began with a broad-brush look at many new mathematics and physics lectures and papers. Much general literature searching eventually led to a focus on specific works that dealt with several new and unexplored areas of fusion research. The focus areas were in the following regimes: multi-tensor homographic computer vision image fusion, out-of-sequence measurement and track data handling, Nash bargaining approaches to sensor management, pursuit-evasion game theoretic modeling of fighter on fighter threat situation outcomes, and particle filtering. The main emphasis of the report is on particle filtering. The contribution is in part an accessible introduction to particle filtering which includes logical foundations and derivations of the fundamental prediction and update equations (Chapman-Kolmogorov and Bayes, respectively). Additionally the application of multi-tensor homographic fusion notions are identified together with the Nash approach, the pursuit-evasion approach to threat situation outcome determination, and the out-of-sequence measurement and track solutions.
Document Details
- Document Type
- Technical Report
- Publication Date
- Aug 01, 2005
- Accession Number
- ADA438993
Entities
People
- Adnan Bubalo
- Eric C. Jones
- Mark Alford
- Melissa Neumann
- Michael J. Greer
Organizations
- Air Force Research Laboratory