Detection of Weak Magnetic Signals in Noisy Environment

Abstract

AbstractIt is possible to detect naval vessels based on the signature of the magnetic field naval vehiclesemit. However, there exi""st also other sources of magnetic field unrelated to naval vehicles. Thus,there is a need to distinguish magnetic fields emitted by" naval vehicles and other sources. Sincemagnetic fields emitted from naval vehicles can be very weak (in particular if the detector" is faraway from the source), it is imperative to have the capability of pulling out weak signals in a noisyenvironment. We propos"e to design a methodology to identify and detect weak magnetic signalembedded in noisy data. Our proposed methodology will be based on three nonlinear identificationmechanisms: (a) resonant amplification of narrow frequency band signals (designing a resonatorfo"r incoming weak signal), (b) broad frequency band deterioration (decay) of the entire signal databesides a narrow frequency band wh""ere signal is expected to appear, and (c) design of a(biologically inspired) nonlinear processor (possibly similar to reservoir com"puting concept)capable of identifying and characterizing a weak signal embedded in noisy data. Our motivationis designing a methodology to identify and detect weak magnetic signal embedded in noisy data.We are aiming to detect signals that otherwise would not be detected by current ~conventional~signal processing methodology.

Document Details

Document Type
DoD Grant Award
Publication Date
May 05, 2017
Source ID
N000141712356

Entities

People

  • Y. Braiman

Organizations

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

Tags

Fields of Study

  • Engineering

Readers

  • Distributed Systems and Data Platform Development
  • Plasma Physics / Magnetohydrodynamics
  • Speech Processing/Speech Recognition.