Bollian, Tobias and Younis, Marwan and Krieger, Gerhard and 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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Abstract
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.
Item URL in elib: | https://elib.dlr.de/148576/ | ||||||||||||||||||||
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Document Type: | Conference or Workshop Item (Speech) | ||||||||||||||||||||
Title: | On-Board RFI Detection Performance of a Multichannel SAR System with Digital Square-Law Detectors | ||||||||||||||||||||
Authors: |
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Date: | 2022 | ||||||||||||||||||||
Journal or Publication Title: | 2022 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2022 | ||||||||||||||||||||
Refereed publication: | Yes | ||||||||||||||||||||
Open Access: | No | ||||||||||||||||||||
Gold Open Access: | No | ||||||||||||||||||||
In SCOPUS: | Yes | ||||||||||||||||||||
In ISI Web of Science: | Yes | ||||||||||||||||||||
DOI: | 10.1109/igarss46834.2022.9883878 | ||||||||||||||||||||
ISBN: | 978-166542792-0 | ||||||||||||||||||||
Status: | Published | ||||||||||||||||||||
Keywords: | Synthetic Aperture Radar, Digital Beamforming, Radio Frequency Interference | ||||||||||||||||||||
Event Title: | IEEE International Geoscience and Remote Sensing Symposium (IGARSS) | ||||||||||||||||||||
Event Location: | Kuala Lumpar, Malaysia | ||||||||||||||||||||
Event Type: | international Conference | ||||||||||||||||||||
Event Start Date: | 17 July 2022 | ||||||||||||||||||||
Event End Date: | 22 July 2022 | ||||||||||||||||||||
HGF - Research field: | Aeronautics, Space and Transport | ||||||||||||||||||||
HGF - Program: | Space | ||||||||||||||||||||
HGF - Program Themes: | Earth Observation | ||||||||||||||||||||
DLR - Research area: | Raumfahrt | ||||||||||||||||||||
DLR - Program: | R EO - Earth Observation | ||||||||||||||||||||
DLR - Research theme (Project): | R - SAR missions | ||||||||||||||||||||
Location: | Oberpfaffenhofen | ||||||||||||||||||||
Institutes and Institutions: | Microwaves and Radar Institute > Radar Concepts | ||||||||||||||||||||
Deposited By: | Bollian, Tobias | ||||||||||||||||||||
Deposited On: | 17 Oct 2022 08:42 | ||||||||||||||||||||
Last Modified: | 24 Apr 2024 20:46 |
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