Signal-to-noise ratio gain in multi-channel SAR with digital beamforming

Marwan Younis; Paco Lopez-Dekker; Gerhard Krieger; Alberto Moreira

doi:10.1109/IGARSS.2015.7326390

Signal-to-noise ratio gain in multi-channel SAR with digital beamforming

Marwan Younis, Paco Lopez-Dekker, Gerhard Krieger, Alberto Moreira

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

1 Citation (Scopus)

Abstract

The signal-to-noise ratio of a radar system is described through the well-known radar equation, which can be adapted to apply to imaging Synthetic Aperture Radar (SAR). Extension to multi-channel SAR systems utilizing digital beam-forming turns out to be treacherous; the pivotal question being, if and how to include the gain of the multiple antenna apertures. This paper puts an effort into answering this question in a simple and comprehensible, yet mathematically rigorous way.

Original language	English
Title of host publication	2015 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2015 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Pages	2778-2781
Number of pages	4
Volume	2015-November
ISBN (Electronic)	9781479979295
DOIs	https://doi.org/10.1109/IGARSS.2015.7326390
Publication status	Published - 10 Nov 2015
Externally published	Yes
Event	2015 IEEE international geoscience and remote sensing symposium, IGARSS 2015, Milan, Italy - Piscataway, NJ, USA, Milan, Italy Duration: 26 Jul 2015 → 31 Jul 2015

Conference

Conference	2015 IEEE international geoscience and remote sensing symposium, IGARSS 2015, Milan, Italy
Country/Territory	Italy
City	Milan
Period	26/07/15 → 31/07/15

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10.1109/IGARSS.2015.7326390

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Younis, M., Lopez-Dekker, P., Krieger, G., & Moreira, A. (2015). Signal-to-noise ratio gain in multi-channel SAR with digital beamforming. In 2015 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2015 - Proceedings (Vol. 2015-November, pp. 2778-2781). Article 7326390 Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/IGARSS.2015.7326390

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title = "Signal-to-noise ratio gain in multi-channel SAR with digital beamforming",

abstract = "The signal-to-noise ratio of a radar system is described through the well-known radar equation, which can be adapted to apply to imaging Synthetic Aperture Radar (SAR). Extension to multi-channel SAR systems utilizing digital beam-forming turns out to be treacherous; the pivotal question being, if and how to include the gain of the multiple antenna apertures. This paper puts an effort into answering this question in a simple and comprehensible, yet mathematically rigorous way.",

author = "Marwan Younis and Paco Lopez-Dekker and Gerhard Krieger and Alberto Moreira",

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doi = "10.1109/IGARSS.2015.7326390",

language = "English",

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booktitle = "2015 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2015 - Proceedings",

publisher = "Institute of Electrical and Electronics Engineers (IEEE)",

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note = "2015 IEEE international geoscience and remote sensing symposium, IGARSS 2015, Milan, Italy ; Conference date: 26-07-2015 Through 31-07-2015",

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Younis, M, Lopez-Dekker, P, Krieger, G & Moreira, A 2015, Signal-to-noise ratio gain in multi-channel SAR with digital beamforming. in 2015 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2015 - Proceedings. vol. 2015-November, 7326390, Institute of Electrical and Electronics Engineers (IEEE), pp. 2778-2781, 2015 IEEE international geoscience and remote sensing symposium, IGARSS 2015, Milan, Italy, Milan, Italy, 26/07/15. https://doi.org/10.1109/IGARSS.2015.7326390

Signal-to-noise ratio gain in multi-channel SAR with digital beamforming. / Younis, Marwan; Lopez-Dekker, Paco; Krieger, Gerhard et al.
2015 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2015 - Proceedings. Vol. 2015-November Institute of Electrical and Electronics Engineers (IEEE), 2015. p. 2778-2781 7326390.

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

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Y2 - 26 July 2015 through 31 July 2015

ER -

Signal-to-noise ratio gain in multi-channel SAR with digital beamforming

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