Bi-Spectral Method for Radar Target Recognition

Abstract

Target recognition and identification in battlefields has been a crucial determinant to the ultimate success or failure of modern military campaigns. Since World War II, the Identification of Friend or Foe (IFF) systems installed in radar systems have served as the primary cooperative target identification techniques based on the "question and answer" interrogation loop of unidentified aircraft. However, the IFF system has a number of limitations that pose significant challenges in the positive identification of hostile and neutral aircrafts, which can lead to catastrophic outcome of fratricide and possible elimination of a friendly or commercial aircraft. To reduce the probability of fratricide and enhance the effectiveness and robustness of target identification, this research will examine the radar Non-Cooperative Target Recognition (NCTR) technique of using the bi-spectral signatures of backscattered radar signals. The basic idea is that the geometry of the target scatterers and their mutual interactions impose features in the reflected radar signal that are typical and unique to the target of interests. The bi-spectrum can be used to detect these multiple interactions features which may then be used to match against a reference database that contains signatures of different target types for recognition and identification.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 2006
Accession Number
ADA462574

Entities

People

  • Jiunn W. Yeo

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Air Platforms
  • Energy and Power Technologies
  • Sensors
  • Space
  • Weapons Technologies

DTIC Thesaurus Topics

  • Air Defense
  • Aircrafts
  • Airframes
  • Cargo Aircraft
  • Commercial Aircraft
  • Defense Systems
  • Detection
  • Detectors
  • Diffraction
  • Electromagnetic Radiation
  • Geometry
  • Radar
  • Radar Signals
  • Target Recognition
  • Target Signatures
  • Three Dimensional
  • Two Dimensional

Readers

  • Military History / Militaries and War Studies
  • Radar Systems Engineering.
  • Strategic Security Studies