Sparse Measurements and Optimal Sensor Placement for Classification and State Estimation of Complex Systems
Abstract
The objective of this basic research project is to provide the mathematical/algorithmic foundations for smart sensor algorithms that are capable of maximizing information acquired from a small (sparse) number of sensors. In this way the DoD will have the wherewithal to do ISR from small platforms, such as drones.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Mar 23, 2016
- Source ID
- FA95501510385
Entities
People
- Jose Kutz
Organizations
- Air Force Office of Scientific Research
- United States Air Force
- University of Washington