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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Hongxia Bu Xia Bai Ran Tao |
| Copyright Year | 2010 |
| Description | Author affiliation: Department of Electronic Engineering, Beijing Institute of Technology, Beijing, China (Hongxia Bu; Xia Bai; Ran Tao) |
| Abstract | To achieve high-resolution images, synthetic aperture radar (SAR) faces considerable technical challenges such as huge amount of data samples and high hardware complexity. Compressed sensing (CS) theory shows that the super-resolved images can be reconstructed from an extremely smaller set of measurements than what is generally considered necessary by Nyquist/Shannon theorem. In this paper, a new algorithm of SAR imaging based on the concept of CS is presented, in which a random fractional Fourier transform (FRFT) matrix is used as the sensing matrix. By utilizing the FRFT matrix the demodulator for de-ramping the linear frequency modulation signal can be eliminated. Simulation results with both simulated and real data exhibit the validity of the proposed algorithm. |
| Starting Page | 2210 |
| Ending Page | 2213 |
| File Size | 217573 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781424458974 |
| e-ISBN | 9781424459001 |
| DOI | 10.1109/ICOSP.2010.5656093 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-10-24 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Radar polarimetry Azimuth Compressed sensing Sensors Fourier transforms Synthetic aperture radar Matching pursuit algorithms Fractional Fourier Transform Compressed Sensing Synthetic Aperture Radar |
| Content Type | Text |
| Resource Type | Article |
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