Research in Evaluation Methods for Data Fusion-Capable Tactical Platforms and Distributed Multi-platform Systems in Electronic Warfare and Information-Warfare Related Missions
Abstract
We have shown that the design of a PE process for any multi-sensor or multi-aircraft fusion based system involves the design of a separate data fusion process involving association and estimation functions for PE purposes per se. Our publications to date have developed the theoretical and architectural groundings for this new PE process, and several case studies have been carried out to show sample implementations of the principles of this new methodology. In addition, some limited objective parametric experiments have also been carried out that show the application of the new evaluation methodology for typical aircraft problems. In this report, we summarize the findings of those past works, and show our research efforts related to extending the design and application of this methodology to air-to-air engagement problems involving higher levels of data fusion capability and the employment of electronic warfare systems. The report discusses the detailed strategies for data association, metric estimation and also the analytical techniques that exploit the formality of the methods of Statistical Design of Experiments and Analysis of Variance for these fusion applications. At the end we survey and study the various methods available in literature to solve the large factor Design of Experiment.
Document Details
- Document Type
- Technical Report
- Publication Date
- Feb 01, 2009
- Accession Number
- ADA499058
Entities
People
- Christopher N. Bowman
- James Llinas
- Kedar Sambhoos
Organizations
- University at Buffalo