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Near-Field High-Resolution SAR Imaging with Sparse Sampling Interval
| Content Provider | MDPI |
|---|---|
| Author | Zhao, Chengyi Xu, Leijun Bai, Xue Chen, Jianfeng |
| Copyright Year | 2022 |
| Abstract | Near-field high-resolution synthetic aperture radar (SAR) imaging is mostly accompanied by a large number of data acquisition processes, which increases the system complexity and device cost. According to extensive reports, reducing the number of sampling points of a radar in space can greatly reduce the amount of data. However, when spatial sparse sampling is carried out, a ghost normally appears in the imaging results due to the high side lobes generated in the azimuth. To address this issue, a technique is introduced in this paper to recover the blank data through amplitude and phase compensation based on the correlation between sparse array sampling through adjacent points. Firstly, the data sampled by the sparse array is compressed in the range direction to obtain the expected data slices in the same range direction. Then, the blank element of the slice is compensated for with amplitude and phase to obtain full aperture data. Finally, the matched filter method is used to aid in the image reconstruction. The simulation results verified that the method proposed in this paper can effectively reconstruct the image under two kinds of sparse sampling conditions. Thus, a simple single-input single-output (SISO) synthetic aperture radar imaging test bench is established. Compared with the results of a 1 mm (1/4 |
| Starting Page | 5548 |
| e-ISSN | 14248220 |
| DOI | 10.3390/s22155548 |
| Journal | Sensors |
| Issue Number | 15 |
| Volume Number | 22 |
| Language | English |
| Publisher | MDPI |
| Publisher Date | 2022-07-25 |
| Access Restriction | Open |
| Subject Keyword | Sensors Imaging Science Millimeter-wave Near-field Synthetic Aperture Radar (sar) Frequency-modulated Continuous-wave (fmcw) Sparse Sampling Image Reconstruction |
| Content Type | Text |
| Resource Type | Article |
