Del Zoppo, Vincenzo and Villano, Michelangelo and Krieger, Gerhard (2014) A data volume reduction strategy based on on-board Doppler filtering. IEEE GOLD Remote Sensing Conference 2014, 2014-06-05 - 2014-06-06, Berlin, Germany.
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Abstract
High-resolution wide-swath (HRWS) synthetic aperture radar (SAR) systems based on digital beamforming (DBF) in elevation are very attractive for the observation of dynamic processes on the Earth’s surface. However, due to their resolutions and swath widths, HRWS systems are inherently associated with a huge data volume. Furthermore, a pulse repetition frequency (PRF) much higher than the required processed Doppler bandwidth is often desirable to comply with azimuth ambiguity requirements. The data volume can be significantly reduced, if on-board Doppler filtering and decimation are performed before downlinking the data. This paper presents different criteria for the design of the low-pass filter and shows that a finite impulse response (FIR) filter with a relatively small number of taps is sufficient to completely suppress the additional ambiguous components and recover the original impulse response, provided that a compensation of the filter transfer function is performed within the processing. This strategy is also applicable to staggered-SAR systems, where on-board Doppler filtering and resampling can be jointly implemented.
Item URL in elib: | https://elib.dlr.de/89427/ | ||||||||||||||||
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Document Type: | Conference or Workshop Item (Speech) | ||||||||||||||||
Title: | A data volume reduction strategy based on on-board Doppler filtering | ||||||||||||||||
Authors: |
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Date: | June 2014 | ||||||||||||||||
Refereed publication: | No | ||||||||||||||||
Open Access: | Yes | ||||||||||||||||
Gold Open Access: | No | ||||||||||||||||
In SCOPUS: | No | ||||||||||||||||
In ISI Web of Science: | No | ||||||||||||||||
Status: | Published | ||||||||||||||||
Keywords: | Synthetic aperture radar (SAR), high-resolution wide-swath (HRWS) SAR imaging, staggered SAR, data volume, on-board Doppler filtering. | ||||||||||||||||
Event Title: | IEEE GOLD Remote Sensing Conference 2014 | ||||||||||||||||
Event Location: | Berlin, Germany | ||||||||||||||||
Event Type: | international Conference | ||||||||||||||||
Event Dates: | 2014-06-05 - 2014-06-06 | ||||||||||||||||
Organizer: | IEEE | ||||||||||||||||
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 - Vorhaben Tandem-L Vorstudien (old) | ||||||||||||||||
Location: | Oberpfaffenhofen | ||||||||||||||||
Institutes and Institutions: | Microwaves and Radar Institute > Radar Concepts | ||||||||||||||||
Deposited By: | Villano, Dr.-Ing. Michelangelo | ||||||||||||||||
Deposited On: | 16 Jun 2014 08:11 | ||||||||||||||||
Last Modified: | 31 Jul 2019 19:46 |
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