Superresolution for Low-Cost Enabling Radar Technology

Abstract

The Multiple Signal Classification (MUSIC) algorithm has been used widely in applications with spatially distributed sensor arrays. In these applications, the algorithm uses the phase relations of the signal at different sensor pointing angles. Accordingly, the MUSIC algorithm has not been used by others to superresolve target positions within the main beam of a radar with a single narrow-beam antenna that is step-scanned in angle because there is no phase shift due to the scanning of the beam. We have developed an application called Scan MUSIC (SMUSIC) for the spatial resolution of closely spaced targets with a stepped-scan radar. We apply SMUSIC to resolve closely spaced coherent targets when a one-dimensional stepped scanning antenna is used. As the low-cost enabling radar technology (LCERT) antenna points at different angles in the horizontal (azimuth) direction, a step-scan sensor vector is formed. In this report, we demonstrate that SMUSIC can be used for a scanning antenna using experimental LCERT radar data. We also show the problems encountered when using experimental data from targets exhibiting constructive and destructive interferences.

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Document Details

Document Type
Technical Report
Publication Date
Oct 01, 1998
Accession Number
ADA357061

Entities

People

  • Canh Ly
  • Herbert Dropkin

Organizations

  • United States Army Research Laboratory

Tags

Communities of Interest

  • Sensors

DTIC Thesaurus Topics

  • Antennas
  • Arrays
  • Computations
  • Corner Reflectors
  • Diagrams
  • Eigenvalues
  • Eigenvectors
  • Experimental Data
  • Frequency
  • Linear Arrays
  • Mechanical Jamming
  • Military Research
  • Modulation
  • Phase
  • Phase Shift
  • Radar
  • Radar Antennas

Fields of Study

  • Engineering

Readers

  • Materials Science.
  • Phased Array Antenna Design.
  • Radar Systems Engineering.

Technology Areas

  • Space
  • Space - Space Objects