Enhanced Resolution Stripmap Mode Using Dynamic Metasurface Antennas
To maintain sufficient signal-to-noise ratio (SNR) for image reconstruction and image interpretation, conventional synthetic aperture radar (SAR) systems must trade off resolution and scene size. This paper proposes a new SAR mode of operation, which improves resolution while maintaining good SNR an...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Pedross-Engel, Andreas [verfasserIn] |
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| Format: |
Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2017 |
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| Schlagwörter: |
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| Übergeordnetes Werk: |
Enthalten in: IEEE transactions on geoscience and remote sensing - New York, NY : IEEE, 1964, 55(2017), 7, Seite 3764-3772 |
|---|---|
| Übergeordnetes Werk: |
volume:55 ; year:2017 ; number:7 ; pages:3764-3772 |
| Links: |
|---|
| DOI / URN: |
10.1109/TGRS.2017.2679438 |
|---|
| Katalog-ID: |
OLC1994410477 |
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| 520 | |a To maintain sufficient signal-to-noise ratio (SNR) for image reconstruction and image interpretation, conventional synthetic aperture radar (SAR) systems must trade off resolution and scene size. This paper proposes a new SAR mode of operation, which improves resolution while maintaining good SNR and a large scene size. It leverages the unique properties of dynamic metasurface antennas (MSAs) to subsample a large virtual beamwidth utilizing multiple small distinct antenna beams. Due to this parallelization in scene sampling, the constraints on the azimuth sampling rate can be relaxed while maintaining an aliasing-free cross range. Due to the versatile properties of MSAs and their cost effective manufacturing process, this paper proposes SAR systems, which can obtain high resolution images over a wide scene size with lower cost and complexity than competing approaches. Point-spread functions and proof-of-concept SAR simulations are shown to verify this approach. In addition, laboratory experiments using a commercial prototype MSA are presented, which show an improvement of 62% in cross-range resolution of the proposed approach, compared with the cross-range resolution of stripmap mode SAR with the same aperture. | ||
| 650 | 4 | |a Antenna arrays | |
| 650 | 4 | |a Radar antennas | |
| 650 | 4 | |a metasurface | |
| 650 | 4 | |a Synthetic aperture radar | |
| 650 | 4 | |a synthetic aperture radar (SAR) | |
| 650 | 4 | |a metamaterial | |
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| 650 | 4 | |a Antenna measurements | |
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| 700 | 1 | |a Smith, David R |4 oth | |
| 700 | 1 | |a Reynolds, Matthew S |4 oth | |
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10.1109/TGRS.2017.2679438 doi PQ20170721 (DE-627)OLC1994410477 (DE-599)GBVOLC1994410477 (PRQ)i940-d848f97383a9ee038e4071e3e040c3323f54766e53d7d16b1dadb090508918080 (KEY)0048677920170000055000703764enhancedresolutionstripmapmodeusingdynamicmetasurf DE-627 ger DE-627 rakwb eng 620 550 DNB Pedross-Engel, Andreas verfasserin aut Enhanced Resolution Stripmap Mode Using Dynamic Metasurface Antennas 2017 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier To maintain sufficient signal-to-noise ratio (SNR) for image reconstruction and image interpretation, conventional synthetic aperture radar (SAR) systems must trade off resolution and scene size. This paper proposes a new SAR mode of operation, which improves resolution while maintaining good SNR and a large scene size. It leverages the unique properties of dynamic metasurface antennas (MSAs) to subsample a large virtual beamwidth utilizing multiple small distinct antenna beams. Due to this parallelization in scene sampling, the constraints on the azimuth sampling rate can be relaxed while maintaining an aliasing-free cross range. Due to the versatile properties of MSAs and their cost effective manufacturing process, this paper proposes SAR systems, which can obtain high resolution images over a wide scene size with lower cost and complexity than competing approaches. Point-spread functions and proof-of-concept SAR simulations are shown to verify this approach. In addition, laboratory experiments using a commercial prototype MSA are presented, which show an improvement of 62% in cross-range resolution of the proposed approach, compared with the cross-range resolution of stripmap mode SAR with the same aperture. Antenna arrays Radar antennas metasurface Synthetic aperture radar synthetic aperture radar (SAR) metamaterial Azimuth Antenna measurements Imaging Watts, Claire M oth Smith, David R oth Reynolds, Matthew S oth Enthalten in IEEE transactions on geoscience and remote sensing New York, NY : IEEE, 1964 55(2017), 7, Seite 3764-3772 (DE-627)129601667 (DE-600)241439-9 (DE-576)015095282 0196-2892 nnns volume:55 year:2017 number:7 pages:3764-3772 http://dx.doi.org/10.1109/TGRS.2017.2679438 Volltext http://ieeexplore.ieee.org/document/7888447 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-ARC SSG-OLC-TEC SSG-OLC-GEO SSG-OLC-FOR SSG-OPC-GGO SSG-OPC-GEO GBV_ILN_70 AR 55 2017 7 3764-3772 |
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10.1109/TGRS.2017.2679438 doi PQ20170721 (DE-627)OLC1994410477 (DE-599)GBVOLC1994410477 (PRQ)i940-d848f97383a9ee038e4071e3e040c3323f54766e53d7d16b1dadb090508918080 (KEY)0048677920170000055000703764enhancedresolutionstripmapmodeusingdynamicmetasurf DE-627 ger DE-627 rakwb eng 620 550 DNB Pedross-Engel, Andreas verfasserin aut Enhanced Resolution Stripmap Mode Using Dynamic Metasurface Antennas 2017 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier To maintain sufficient signal-to-noise ratio (SNR) for image reconstruction and image interpretation, conventional synthetic aperture radar (SAR) systems must trade off resolution and scene size. This paper proposes a new SAR mode of operation, which improves resolution while maintaining good SNR and a large scene size. It leverages the unique properties of dynamic metasurface antennas (MSAs) to subsample a large virtual beamwidth utilizing multiple small distinct antenna beams. Due to this parallelization in scene sampling, the constraints on the azimuth sampling rate can be relaxed while maintaining an aliasing-free cross range. Due to the versatile properties of MSAs and their cost effective manufacturing process, this paper proposes SAR systems, which can obtain high resolution images over a wide scene size with lower cost and complexity than competing approaches. Point-spread functions and proof-of-concept SAR simulations are shown to verify this approach. In addition, laboratory experiments using a commercial prototype MSA are presented, which show an improvement of 62% in cross-range resolution of the proposed approach, compared with the cross-range resolution of stripmap mode SAR with the same aperture. Antenna arrays Radar antennas metasurface Synthetic aperture radar synthetic aperture radar (SAR) metamaterial Azimuth Antenna measurements Imaging Watts, Claire M oth Smith, David R oth Reynolds, Matthew S oth Enthalten in IEEE transactions on geoscience and remote sensing New York, NY : IEEE, 1964 55(2017), 7, Seite 3764-3772 (DE-627)129601667 (DE-600)241439-9 (DE-576)015095282 0196-2892 nnns volume:55 year:2017 number:7 pages:3764-3772 http://dx.doi.org/10.1109/TGRS.2017.2679438 Volltext http://ieeexplore.ieee.org/document/7888447 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-ARC SSG-OLC-TEC SSG-OLC-GEO SSG-OLC-FOR SSG-OPC-GGO SSG-OPC-GEO GBV_ILN_70 AR 55 2017 7 3764-3772 |
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Enhanced Resolution Stripmap Mode Using Dynamic Metasurface Antennas |
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Enhanced Resolution Stripmap Mode Using Dynamic Metasurface Antennas |
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Pedross-Engel, Andreas |
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Enhanced Resolution Stripmap Mode Using Dynamic Metasurface Antennas |
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To maintain sufficient signal-to-noise ratio (SNR) for image reconstruction and image interpretation, conventional synthetic aperture radar (SAR) systems must trade off resolution and scene size. This paper proposes a new SAR mode of operation, which improves resolution while maintaining good SNR and a large scene size. It leverages the unique properties of dynamic metasurface antennas (MSAs) to subsample a large virtual beamwidth utilizing multiple small distinct antenna beams. Due to this parallelization in scene sampling, the constraints on the azimuth sampling rate can be relaxed while maintaining an aliasing-free cross range. Due to the versatile properties of MSAs and their cost effective manufacturing process, this paper proposes SAR systems, which can obtain high resolution images over a wide scene size with lower cost and complexity than competing approaches. Point-spread functions and proof-of-concept SAR simulations are shown to verify this approach. In addition, laboratory experiments using a commercial prototype MSA are presented, which show an improvement of 62% in cross-range resolution of the proposed approach, compared with the cross-range resolution of stripmap mode SAR with the same aperture. |
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To maintain sufficient signal-to-noise ratio (SNR) for image reconstruction and image interpretation, conventional synthetic aperture radar (SAR) systems must trade off resolution and scene size. This paper proposes a new SAR mode of operation, which improves resolution while maintaining good SNR and a large scene size. It leverages the unique properties of dynamic metasurface antennas (MSAs) to subsample a large virtual beamwidth utilizing multiple small distinct antenna beams. Due to this parallelization in scene sampling, the constraints on the azimuth sampling rate can be relaxed while maintaining an aliasing-free cross range. Due to the versatile properties of MSAs and their cost effective manufacturing process, this paper proposes SAR systems, which can obtain high resolution images over a wide scene size with lower cost and complexity than competing approaches. Point-spread functions and proof-of-concept SAR simulations are shown to verify this approach. In addition, laboratory experiments using a commercial prototype MSA are presented, which show an improvement of 62% in cross-range resolution of the proposed approach, compared with the cross-range resolution of stripmap mode SAR with the same aperture. |
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To maintain sufficient signal-to-noise ratio (SNR) for image reconstruction and image interpretation, conventional synthetic aperture radar (SAR) systems must trade off resolution and scene size. This paper proposes a new SAR mode of operation, which improves resolution while maintaining good SNR and a large scene size. It leverages the unique properties of dynamic metasurface antennas (MSAs) to subsample a large virtual beamwidth utilizing multiple small distinct antenna beams. Due to this parallelization in scene sampling, the constraints on the azimuth sampling rate can be relaxed while maintaining an aliasing-free cross range. Due to the versatile properties of MSAs and their cost effective manufacturing process, this paper proposes SAR systems, which can obtain high resolution images over a wide scene size with lower cost and complexity than competing approaches. Point-spread functions and proof-of-concept SAR simulations are shown to verify this approach. In addition, laboratory experiments using a commercial prototype MSA are presented, which show an improvement of 62% in cross-range resolution of the proposed approach, compared with the cross-range resolution of stripmap mode SAR with the same aperture. |
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Enhanced Resolution Stripmap Mode Using Dynamic Metasurface Antennas |
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Watts, Claire M Smith, David R Reynolds, Matthew S |
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