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J. Electromagn. Eng. Sci > Volume 17(3); 2017 > Article
Journal of Electromagnetic Engineering and Science 2017;17(3):113-119.
DOI: https://doi.org/10.5515/JKIEES.2017.17.3.113    Published online July 31, 2017.
Application of Compressive Sensing to Two-Dimensional Radar Imaging Using a Frequency-Scanned Microstrip Leaky Wave Antenna
Shang-Te Yang, Hao Ling
Department of Electrical and Computer Engineering, The University of Texas at Austin, Austin, TX 78712, USA.
Correspondence:  Hao Ling,Email: ling@ece.utexas.edu
Received: 10 June 2017   • Accepted: 11 July 2017
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, L1-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.
Key words: Compressive Sensing, Leaky Wave Antenna, Near Field, Radar Imaging, Resolution
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