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DC Field | Value | Language |
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dc.contributor.author | Yan, W | - |
dc.contributor.author | Gan, L | - |
dc.contributor.author | Hu, S | - |
dc.coverage.spatial | luxembourg | - |
dc.date.accessioned | 2024-01-31T08:28:47Z | - |
dc.date.available | 2024-01-31T08:28:47Z | - |
dc.date.issued | 2023-07-12 | - |
dc.identifier | ORCID iD: Lu Gan https://orcid.org/0000-0003-1056-7660 | - |
dc.identifier | ORCID iD: Shaoqing Hu https://orcid.org/0000-0001-8642-2914 | - |
dc.identifier.citation | Yen, W., Gan, L. and Hu, S. (2024) 'High Dynamic Range Multi-channel modulo ADCs for Synthetic Aperture Radar', Proceedings of the International Symposium on Computational Sensing 2023, 12-14 July, pp. 1 - 3. | en_US |
dc.identifier.uri | https://bura.brunel.ac.uk/handle/2438/28131 | - |
dc.description.abstract | The accuracy of Synthetic Aperture Radar (SAR) imaging is a critical performance metric that can be significantly impacted by the limited dynamic range of Analog-to-Digital Converters (ADCs) used in the sampling of SAR raw data. The saturation effect caused by the threshold of conventional ADCs can lead to clipped SAR raw data and reduced image quality. This paper proposes a novel solution using multi-channel modulo ADCs to improve SAR imaging performance. The proposed system is designed to recover signals with a higher dynamic range than conventional ADCs, even in noisy environments. Simulation results demonstrate that the proposed system provides improved noise immunity and increased signal dynamic range compared to conventional ADCs. | en_US |
dc.language.iso | en_US | en_US |
dc.publisher | ISCS | en_US |
dc.source | International Symposium on Computational Sensing 2023 | - |
dc.source | International Symposium on Computational Sensing 2023 | - |
dc.subject | analog-to-digital converters (ADCs) | en_US |
dc.subject | modulo samplers | en_US |
dc.subject | Chinese remainder theorem | en_US |
dc.subject | synthetic aperture radar (SAR). | en_US |
dc.title | High Dynamic Range Multi-channel modulo ADCs for Synthetic Aperture Radar | en_US |
dc.type | Conference Paper | en_US |
pubs.finish-date | 2023-06-14 | - |
pubs.finish-date | 2023-06-14 | - |
pubs.publication-status | Published | - |
pubs.start-date | 2023-06-12 | - |
pubs.start-date | 2023-06-12 | - |
Appears in Collections: | Dept of Electronic and Electrical Engineering Research Papers |
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FullText.pdf | 539.29 kB | Adobe PDF | View/Open |
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