Lightweight SAR: A Two-Bit Strategy
By benefiting from one-bit sampling, the system deployment of synthetic aperture radar (SAR) can be greatly simplified. However, it usually requires a high oversampling rate to avoid the apparent degradation in imagery, which counteracts the storage-saving advantages. In this paper, a two-bit lightw...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2023-01-01
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| Series: | Remote Sensing |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2072-4292/15/2/310 |
| _version_ | 1797437514294755328 |
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| author | Shiqi Liu Bo Zhao Lei Huang Bing Li Weimin Bao |
| author_facet | Shiqi Liu Bo Zhao Lei Huang Bing Li Weimin Bao |
| author_sort | Shiqi Liu |
| collection | DOAJ |
| description | By benefiting from one-bit sampling, the system deployment of synthetic aperture radar (SAR) can be greatly simplified. However, it usually requires a high oversampling rate to avoid the apparent degradation in imagery, which counteracts the storage-saving advantages. In this paper, a two-bit lightweight SAR imaging strategy is proposed to take the advantage of one-bit quantization in simplification but get rid of the requirement of sampling at a high rate. Specifically, based on one-bit quantization, an extra bit after an appropriate phase shifting is introduced to suppress the harmonics resulting from the nonlinear effect of quantization. In this way, the awkward nonlinearity in conventional one-bit schemes can be tackled by the nonlinearity generated with the newly introduced bit. Hence, this improves the imaging quality. In addition, the proposed method does not rely on fast sampling. The harmonic suppression effect is retained under low-sampling-rate conditions. Therefore, the amount of data acquired will decrease dramatically. This will benefit the whole process of imaging and, consequently, lighten the system burden and cost. The theoretical analysis and experimental results showcase the superiority of the proposed method. |
| first_indexed | 2024-03-09T11:21:26Z |
| format | Article |
| id | doaj.art-9eff4386d547428e933abe06223c1355 |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-03-09T11:21:26Z |
| publishDate | 2023-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-9eff4386d547428e933abe06223c13552023-12-01T00:18:39ZengMDPI AGRemote Sensing2072-42922023-01-0115231010.3390/rs15020310Lightweight SAR: A Two-Bit StrategyShiqi Liu0Bo Zhao1Lei Huang2Bing Li3Weimin Bao4College of Electronic and Information Engineering, Shenzhen University, Shenzhen 518060, ChinaCollege of Electronic and Information Engineering, Shenzhen University, Shenzhen 518060, ChinaCollege of Electronic and Information Engineering, Shenzhen University, Shenzhen 518060, ChinaSchool of Electrical Engineering, Southwest Jiaotong University, Chengdu 611756, ChinaChina Aerospace Science and Technology Corporation, Beijing 100048, ChinaBy benefiting from one-bit sampling, the system deployment of synthetic aperture radar (SAR) can be greatly simplified. However, it usually requires a high oversampling rate to avoid the apparent degradation in imagery, which counteracts the storage-saving advantages. In this paper, a two-bit lightweight SAR imaging strategy is proposed to take the advantage of one-bit quantization in simplification but get rid of the requirement of sampling at a high rate. Specifically, based on one-bit quantization, an extra bit after an appropriate phase shifting is introduced to suppress the harmonics resulting from the nonlinear effect of quantization. In this way, the awkward nonlinearity in conventional one-bit schemes can be tackled by the nonlinearity generated with the newly introduced bit. Hence, this improves the imaging quality. In addition, the proposed method does not rely on fast sampling. The harmonic suppression effect is retained under low-sampling-rate conditions. Therefore, the amount of data acquired will decrease dramatically. This will benefit the whole process of imaging and, consequently, lighten the system burden and cost. The theoretical analysis and experimental results showcase the superiority of the proposed method.https://www.mdpi.com/2072-4292/15/2/310lightweight imagingone-bit quantizationsynthetic aperture radar (SAR)two-bit quantizationtwo-bit imaging |
| spellingShingle | Shiqi Liu Bo Zhao Lei Huang Bing Li Weimin Bao Lightweight SAR: A Two-Bit Strategy Remote Sensing lightweight imaging one-bit quantization synthetic aperture radar (SAR) two-bit quantization two-bit imaging |
| title | Lightweight SAR: A Two-Bit Strategy |
| title_full | Lightweight SAR: A Two-Bit Strategy |
| title_fullStr | Lightweight SAR: A Two-Bit Strategy |
| title_full_unstemmed | Lightweight SAR: A Two-Bit Strategy |
| title_short | Lightweight SAR: A Two-Bit Strategy |
| title_sort | lightweight sar a two bit strategy |
| topic | lightweight imaging one-bit quantization synthetic aperture radar (SAR) two-bit quantization two-bit imaging |
| url | https://www.mdpi.com/2072-4292/15/2/310 |
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