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JEES, vol. 17, no. 3, pp.113-119, July, 2017
DOI. http://dx.doi.org/10.5515/JKIEES.2017.17.3.113

Application of Compressive Sensing to Two-Dimensional Radar Imaging Using a Frequency-Scanned Microstrip Leaky Wave Antenna

The University of Texas at Austin
ling@ece.utexas.edu

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.

Keyword : Compressive Sensing, Leaky Wave Antenna, Near Field, Radar Imaging, Resolution.

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