Data-Driven Improved Space-Time Adaptive Processing (STAP) Radar
Abstract
We will design new physics infused data-driven approaches to improve classical radar algorithms. In particular, we will mainly focus on Space-Time Adaptive Processing (STAP) radar which is widely employed in many applications. To this end, we will use the knowledge of location and velocity of airborne vehicle, and the knowledge of environment incorporated in the RFVIEW platform (Developed by ISLinc) in order to estimate a representative set of dominant scatterers. This can be done totally off-line and without any transmission or reception of radar signals. Having this knowledge at hand, we will schedule the transmission algorithm development.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Jan 21, 2022
- Source ID
- FA95502110235XX0
Entities
People
- Vahid Tarokh
Organizations
- Air Force Office of Scientific Research
- Duke University
- United States Air Force