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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  

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)
Publication Information
Journal of electromagnetic engineering and science / v.17, no.3, 2017 , pp. 113-119 More about this Journal
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.
Keywords
Compressive Sensing; Leaky Wave Antenna; Near Field; Radar Imaging; Resolution;
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