Robust Hypothesis Testing for Radar Applications

Abstract

Develop robust detection algorithms that are ale to guarantee the required detection performance regardless of the particular (and generally unknown) true data model.

Document Details

• Document Type: DoD Grant Award
• Publication Date: May 02, 2017
• Source ID: FA95501710065

Entities

People

• Fulvio Gini

Organizations

• Air Force Office of Scientific Research
• United States Air Force
• University of Pisa