Journal of electromagnetic engineering and science

The Korean Institute of Electromagnetic Engineering and Science (한국전자파학회)
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Application of Compressive Sensing to Two-Dimensional Radar Imaging Using a Frequency-Scanned Microstrip Leaky Wave Antenna

  • Yang, Shang-Te (Department of Electrical and Computer Engineering, The University of Texas at Austin) ;
  • Ling, Hao (Department of Electrical and Computer Engineering, The University of Texas at Austin)
  • Received : 2017.06.10
  • Accepted : 2017.07.11
  • Published : 2017.07.31
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Abstract

The application of compressive sensing (CS) to a radar imaging system based on a frequency-scanned microstrip leaky wave antenna is investigated. First, an analytical model of the system matrix is formulated as the basis for the inversion algorithm. Then, $L_1-norm$ minimization is applied to the inverse problem to generate a range-azimuth image of the scene. Because of the antenna length, the near-field effect is considered in the CS formulation to properly image close-in targets. The resolving capability of the combined frequency-scanned antenna and CS processing is examined and compared to results based on the short-time Fourier transform and the pseudo-inverse. Both simulation and measurement data are tested to show the system performance in terms of image resolution.

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References

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