Detecting Weak Magnetic Signals in a Noisy Environment
Abstract
The goal of this effort is to design a methodology to identify and detect weak magnetic signals embedded in noisy data. Our approach is based on employing several nonlinear identification mechanisms including: (a) designing a nonlinear processor that is capable of identifying and characterizing a weak signal embedded in noisy data and (b) resonant amplification of incoming signals. We aim to d"etect signals that would not otherwise be detected by current ""conventional"" signal processing methodology..
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Mar 26, 2018
- Source ID
- N000141812201
Entities
People
- Y. Braiman
Organizations
- Office of Naval Research
- United States Navy
- University of Tennessee