Identifying Targets from Filtering Effects

Abstract

The response of a radar or sonar target to a signal may be described by an impulse response function, which means that the target may be considered as a filter acting on a signal. It is known that filters are not exactly invertible, and this lack of invertibility may be used to identify the particular target that reflected a signal. We apply techniques from nonlinear dynamics to determine the probability that a function exists between 2 signals. If 2 identical signals are reflected by the same target, then our statistic will indicate a high probability that a function exists between the 2 signals; if the 2 signals were reflected by different targets, then the statistic will show a low probability that the 2 signals are related by a function. We demonstrate target identification with both numerical simulations and acoustic experiments.

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Document Details

Document Type
Technical Report
Publication Date
Oct 24, 2012
Accession Number
ADA584771

Entities

People

  • Frederic J. Rachford
  • Thomas L. Carroll

Organizations

  • United States Naval Research Laboratory

Tags

Communities of Interest

  • Weapons Technologies

DTIC Thesaurus Topics

  • Algorithms
  • Aspect Angle
  • Bandwidth
  • Composite Materials
  • Differential Equations
  • Electromagnetic Scattering
  • Filters
  • Filtration
  • Finite Difference Time Domain
  • Frequency
  • Identification
  • Low Resolution
  • Noise
  • Pattern Recognition
  • Probability
  • Simulations
  • Trajectories

Fields of Study

  • Engineering

Readers

  • Mathematical Modeling and Probability Theory.
  • Radar Systems Engineering.