Gebert N, Krieger G, Moreira A (2006)
Publication Type: Conference contribution
Publication year: 2006
Edited Volumes: International Geoscience and Remote Sensing Symposium (IGARSS)
Pages Range: 1836-1839
Article Number: 4
Conference Proceedings Title: IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
Event location: Denver, CO
ISBN: 0780395107
URI: https://elib.dlr.de/43830/
Multi-aperture synthetic aperture radar (SAR) systems in combination with an appropriate coherent processing of the individual aperture signals enable high resolution wide swath (HRWS) SAR imaging. An innovative reconstruction algorithm for such a digital beamforming on receive was presented that allows for HRWS even in case of a non-uniformly sampled data array in azimuth. This paper will compare this algorithm to different azimuth processing strategies regarding their performance in dependency of the overall sampling. Further, optimization strategies are discussed to maximize the system′s performance by pattern tapering on transmit and {``}Pre-Beamshaping on Receive″ networks that allow for pattern tapering on receive and adaptively adjust the virtual sample positions.
APA:
Gebert, N., Krieger, G., & Moreira, A. (2006). Digital Beamforming for HRWS-SAR Imaging - System Design, Performance and Optimization Strategies. In IEEE (Eds.), IEEE International Geoscience and Remote Sensing Symposium (IGARSS) (pp. 1836-1839). Denver, CO.
MLA:
Gebert, Nicolas, Gerhard Krieger, and Alberto Moreira. "Digital Beamforming for HRWS-SAR Imaging - System Design, Performance and Optimization Strategies." Proceedings of the 2006 IEEE International Geoscience and Remote Sensing Symposium, IGARSS, Denver, CO Ed. IEEE, 2006. 1836-1839.
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