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Sub-Aperture Motion-Adaptive Reconstruction Techniques for Digital Beamforming Airborne SAR

Navarro Castillo, Juan Pablo und Scheiber, Rolf und Jäger, Marc und Moreira, Alberto (2024) Sub-Aperture Motion-Adaptive Reconstruction Techniques for Digital Beamforming Airborne SAR. IEEE Transactions on Geoscience and Remote Sensing. IEEE - Institute of Electrical and Electronics Engineers. doi: 10.1109/TGRS.2024.3504265. ISSN 0196-2892.

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Kurzfassung

The use of airborne synthetic aperture radar (SAR) to demonstrate high-resolution wide swath (HRWS) operational modes in spaceborne SAR missions has supported the development of advanced digital beamforming (DBF) techniques. In doing so, one of the challenges to overcome is the temporal variation of the antenna phase centers in the airborne DBF SAR scenario, which significantly degrades the performance of the azimuth reconstruction. Multiple motion compensation (MoCo) solutions have been explored to correct these inconsistencies. However, the compensation of residual phase errors in the Doppler domain remains unresolved when the multi-channel data has an aliased azimuth spectrum. This paper proposes an algorithm that exploits the properties of the DBF azimuth reconstruction to correct these residual motion inconsistencies, although the channels are undersampled. The algorithm modifies the input range-compressed multi-channel data by using an innovative MoCo technique to compensate the phase components coming from undesired 3D time-variant baselines between the different apertures. Furthermore, a 2-step azimuth reconstruction configuration is implemented to account for the polychromatic nature of SAR signals. To test the performance of the algorithm, point target simulations were carried out, in which the impact of a realistic across-track motion, inaccuracies in the digital elevation model (DEM), and variable velocity are analyzed. The results confirm the efficacy of the proposed technique in azimuth ambiguity suppression, where excellent ambiguity suppression is observed after applying the proposed MoCo technique. Finally, the outcome of the simulations is validated with real multichannel data acquired by the German Aerospace Center (DLR) airborne DBFSAR system.

elib-URL des Eintrags:https://elib.dlr.de/208937/
Dokumentart:Zeitschriftenbeitrag
Titel:Sub-Aperture Motion-Adaptive Reconstruction Techniques for Digital Beamforming Airborne SAR
Autoren:
AutorenInstitution oder E-Mail-AdresseAutoren-ORCID-iDORCID Put Code
Navarro Castillo, Juan PabloJuan.NavarroCastillo (at) dlr.dehttps://orcid.org/0009-0008-8380-6697172525238
Scheiber, RolfRolf.Scheiber (at) dlr.dehttps://orcid.org/0000-0002-6833-4897NICHT SPEZIFIZIERT
Jäger, MarcMarc.Jaeger (at) dlr.dehttps://orcid.org/0000-0001-9685-2977NICHT SPEZIFIZIERT
Moreira, AlbertoAlberto.Moreira (at) dlr.dehttps://orcid.org/0000-0002-3436-9653NICHT SPEZIFIZIERT
Datum:25 November 2024
Erschienen in:IEEE Transactions on Geoscience and Remote Sensing
Referierte Publikation:Ja
Open Access:Nein
Gold Open Access:Nein
In SCOPUS:Ja
In ISI Web of Science:Ja
DOI:10.1109/TGRS.2024.3504265
Verlag:IEEE - Institute of Electrical and Electronics Engineers
ISSN:0196-2892
Status:veröffentlicht
Stichwörter:digital beamforming, motion compensation, azimuth reconstruction, airborne SAR, azimuth ambiguities, velocity variation.
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 - Flugzeug-SAR
Standort: Oberpfaffenhofen
Institute & Einrichtungen:Institut für Hochfrequenztechnik und Radarsysteme > SAR-Technologie
Hinterlegt von: Navarro Castillo, Juan Pablo
Hinterlegt am:20 Nov 2024 13:09
Letzte Änderung:26 Nov 2024 14:09

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