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Using filtering effects to identify objects.

T L Carroll1, Frederic J Rachford

  • 1US Naval Research Lab, Washington, DC 20375, USA. Thomas.Carroll@nrl.navy.mil

Chaos (Woodbury, N.Y.)
|July 5, 2012
PubMed
Summary
This summary is machine-generated.

Object identification using reflected signals is enhanced by treating target interactions as linear filters. This method uses chaotic signals to create a reference for matching targets, even with changing aspect angles.

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Area of Science:

  • Signal processing
  • Target identification
  • Acoustics and electromagnetics

Background:

  • Reflected signals from targets are used for object localization.
  • These signals contain unique information for object identification.
  • Linear effects dominate in radar and sonar due to small signal amplitudes.

Purpose of the Study:

  • To develop a method for identifying objects using their reflected signals.
  • To leverage the linear filtering effect of targets on signals.
  • To create angle-independent target references for identification.

Main Methods:

  • Modeling target-signal interaction as a linear filter.
  • Utilizing chaotic signals and known linear filter effects.
  • Developing a reference matching technique for signal-target correlation.
  • Averaging angle-dependent filter variations for robust identification.

Main Results:

  • A reference can be created to match reflected signals to specific targets.
  • The method allows for target identification over a range of aspect angles.
  • Slowly varying filter components enable angle-averaged references.

Conclusions:

  • Object identification via reflected signals can be achieved by analyzing linear filter effects.
  • Chaotic signal analysis provides a robust framework for target recognition.
  • The developed method offers potential for reliable identification across varying viewing angles.