| 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 |
|
|
|
| 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, 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 |
|
PDF Links
Full text via DOI
Download Citation
