Detection of Weak Magnetic Signals in a Noisy Environment

Abstract

Detection of Weak Magnetic Signals in a Noisy Environment The purpose of the proposed work is designing a methodology to identify and detect weak magnetic signal embedded in noisy data. Our proposed methodology is based on three nonlinear identification mechanisms: (a) resonant amplification of narrow frequency band signals (designing a resonator for incoming weak signal), (b) broad frequency band deterioration (decay) of the entire signal data besides a narrow frequency band where signal is expected to appear, and (c) a (biologically inspired) nonlinear processor (possibly similar to reservoir computing concept) capable of identifying and characterizing a weak signal embedded in noisy data.

Document Details

Document Type
DoD Grant Award
Publication Date
Nov 23, 2016
Source ID
N000141612319

Entities

People

  • Y. Braiman

Organizations

  • Office of Naval Research
  • United States Navy
  • University of Tennessee

Tags

Fields of Study

  • Engineering

Readers

  • Neural Network Machine Learning.
  • Plasma Physics / Magnetohydrodynamics
  • Radio communications and signal processing.