Bollian, Tobias und Younis, Marwan und Krieger, Gerhard und Moreira, Alberto (2022) On-Board RFI Detection Performance of a Multichannel SAR System with Digital Square-Law Detectors. In: 2022 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2022. IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2022-07-17 - 2022-07-22, Kuala Lumpar, Malaysia. doi: 10.1109/igarss46834.2022.9883878. ISBN 978-166542792-0.
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Kurzfassung
Radio Frequency Interference (RFI) is a growing problem for future Synthetic Aperture Radar (SAR) missions, resulting in data loss, image artifacts and undetected biases. A new approach for mitigating RFI is digital beamforming (DBF), which is possible with the next generation of multichannel SAR systems and allows for a spatial filtering of signals from different directions. While on-board RFI removal with DBF is challenging for spaceborne systems due to the computational load, past publications have shown that this problem can be overcome with DBF-based auxiliary beams by moving most of the processing to the ground without requiring the downlinking of all channels. A remaining problem of measuring RFI information with auxiliary beams is determining the interferer position. This paper shows the performance simulation of a series of digital square-law detectors which can be used to overcome this issue. It is shown that a series of digital square-law detectors provides the opportunity to simultaneously determine if RFI is present and under which direction, while maintaining a low system complexity. This is possible because the detectors provide a good probability of detection and false alarm rate even if the data rate is decimated. The simulated system performs well for a decimation factor of 110.
elib-URL des Eintrags: | https://elib.dlr.de/148576/ | ||||||||||||||||||||
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Dokumentart: | Konferenzbeitrag (Vortrag) | ||||||||||||||||||||
Titel: | On-Board RFI Detection Performance of a Multichannel SAR System with Digital Square-Law Detectors | ||||||||||||||||||||
Autoren: |
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Datum: | 2022 | ||||||||||||||||||||
Erschienen in: | 2022 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2022 | ||||||||||||||||||||
Referierte Publikation: | Ja | ||||||||||||||||||||
Open Access: | Nein | ||||||||||||||||||||
Gold Open Access: | Nein | ||||||||||||||||||||
In SCOPUS: | Ja | ||||||||||||||||||||
In ISI Web of Science: | Ja | ||||||||||||||||||||
DOI: | 10.1109/igarss46834.2022.9883878 | ||||||||||||||||||||
ISBN: | 978-166542792-0 | ||||||||||||||||||||
Status: | veröffentlicht | ||||||||||||||||||||
Stichwörter: | Synthetic Aperture Radar, Digital Beamforming, Radio Frequency Interference | ||||||||||||||||||||
Veranstaltungstitel: | IEEE International Geoscience and Remote Sensing Symposium (IGARSS) | ||||||||||||||||||||
Veranstaltungsort: | Kuala Lumpar, Malaysia | ||||||||||||||||||||
Veranstaltungsart: | internationale Konferenz | ||||||||||||||||||||
Veranstaltungsbeginn: | 17 Juli 2022 | ||||||||||||||||||||
Veranstaltungsende: | 22 Juli 2022 | ||||||||||||||||||||
HGF - Forschungsbereich: | Luftfahrt, Raumfahrt und Verkehr | ||||||||||||||||||||
HGF - Programm: | Raumfahrt | ||||||||||||||||||||
HGF - Programmthema: | Erdbeobachtung | ||||||||||||||||||||
DLR - Schwerpunkt: | Raumfahrt | ||||||||||||||||||||
DLR - Forschungsgebiet: | R EO - Erdbeobachtung | ||||||||||||||||||||
DLR - Teilgebiet (Projekt, Vorhaben): | R - SAR-Missionen | ||||||||||||||||||||
Standort: | Oberpfaffenhofen | ||||||||||||||||||||
Institute & Einrichtungen: | Institut für Hochfrequenztechnik und Radarsysteme > Radarkonzepte | ||||||||||||||||||||
Hinterlegt von: | Bollian, Tobias | ||||||||||||||||||||
Hinterlegt am: | 17 Okt 2022 08:42 | ||||||||||||||||||||
Letzte Änderung: | 24 Apr 2024 20:46 |
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