Cutset Sampling Topologirs for Intelligence
Abstract
To develop novel constraint-aware approaches for designing dynamic structures and distributed algorithms to be used in missions involving geospatial data gathering tasks. The proposed approaches will seamlessly integrate the management of: (1)spatial sensor deployment and data communication constraints, (2) signal characteristics (e.g.,continuity, expected size and shape), and (3) unconventional tradeoffs in terms of balancinginformation gains with spatiotemporal constraints. We aim at achieving accurate and robust signal reconstruction, interpolation, and analysis for the purpose of information extraction. The proposed technology will significantly enhance naval capabilities for remote detection and assessment of various security threats, spanning from motion of actual physical entities through weapons of mass destruction.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Sep 21, 2018
- Source ID
- N000141712707
Entities
People
- Thrasyvoulos N. Pappas
Organizations
- Northwestern University
- Office of Naval Research
- United States Navy