Iqbal, Muhammad Amjad und Anghel, Andrei und Datcu, Mihai und Ederra, Iñigo und Iriarte, Juan Carlos (2023) Assessment of mm-Wave High Resolution Inverse SAR Imaging both with Compact and Sparse Data. In: 20th European Radar Conference, EuRAD 2023, Seiten 266-269. 2023 20th European Radar Conference (EuRAD), 2023-09-20 - 2023-09-22, Berlin, Germany. doi: 10.23919/EuRAD58043.2023.10288621. ISBN 978-287487074-3.
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Kurzfassung
Inverse synthetic aperture radar (ISAR) provides images of objects that are rotated with respect to the radar. An efficient image-focusing algorithm is required to generate ISAR images from the echoes of the raw data. In this study, a monostatic model was deployed to collect radar backscattering data in the millimeter (mm) wave band (67–110 GHz) using targets with circular, rectangular, and non-canonical shapes. The ISAR experiments were performed to assess the imaging performance of the three methods. The ISAR image reconstruction implemented in the wave-number (ω − k) domain solves the target reflectivity and allows the target to be close to the radar. This shows that the mm-wave radar can achieve a sufficient resolution in the range and azimuth dimensions. Finally, we compared the results with those of spherical wavefront compensation (SWFC) and back-projection (BP) methods. The efficiencies of the three methods were tested using compressible data with wavelet-decomposition-based sparse measurements. To demonstrate the performance of the given methods, the point spread function (PSF) for the impulse response of the mm-wave wire was computed. There is a trade-off: the ω − k domain loses resolution compared to the SWFC and BP methods but can obtain a satisfactory image at a lower computational cost.
elib-URL des Eintrags: | https://elib.dlr.de/201609/ | ||||||||||||||||||||||||
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Dokumentart: | Konferenzbeitrag (Vortrag) | ||||||||||||||||||||||||
Titel: | Assessment of mm-Wave High Resolution Inverse SAR Imaging both with Compact and Sparse Data | ||||||||||||||||||||||||
Autoren: |
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Datum: | September 2023 | ||||||||||||||||||||||||
Erschienen in: | 20th European Radar Conference, EuRAD 2023 | ||||||||||||||||||||||||
Referierte Publikation: | Ja | ||||||||||||||||||||||||
Open Access: | Nein | ||||||||||||||||||||||||
Gold Open Access: | Nein | ||||||||||||||||||||||||
In SCOPUS: | Ja | ||||||||||||||||||||||||
In ISI Web of Science: | Nein | ||||||||||||||||||||||||
DOI: | 10.23919/EuRAD58043.2023.10288621 | ||||||||||||||||||||||||
Seitenbereich: | Seiten 266-269 | ||||||||||||||||||||||||
ISBN: | 978-287487074-3 | ||||||||||||||||||||||||
Status: | veröffentlicht | ||||||||||||||||||||||||
Stichwörter: | SFWC, ISAR, Wave-number, mm-wave, PSF, 2D-DWD, CS | ||||||||||||||||||||||||
Veranstaltungstitel: | 2023 20th European Radar Conference (EuRAD) | ||||||||||||||||||||||||
Veranstaltungsort: | Berlin, Germany | ||||||||||||||||||||||||
Veranstaltungsart: | internationale Konferenz | ||||||||||||||||||||||||
Veranstaltungsbeginn: | 20 September 2023 | ||||||||||||||||||||||||
Veranstaltungsende: | 22 September 2023 | ||||||||||||||||||||||||
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 - Künstliche Intelligenz | ||||||||||||||||||||||||
Standort: | Oberpfaffenhofen | ||||||||||||||||||||||||
Institute & Einrichtungen: | Institut für Methodik der Fernerkundung > EO Data Science | ||||||||||||||||||||||||
Hinterlegt von: | Dumitru, Corneliu Octavian | ||||||||||||||||||||||||
Hinterlegt am: | 10 Jan 2024 10:24 | ||||||||||||||||||||||||
Letzte Änderung: | 24 Apr 2024 21:02 |
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