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Predictive Quantization for Staggered Synthetic Aperture Radar

Gollin, Nicola and Martone, Michele and Villano, Michelangelo and Rizzoli, Paola and Krieger, Gerhard (2019) Predictive Quantization for Staggered Synthetic Aperture Radar. German Microwave Conference (GeMiC), 2019-03-25 - 2019-03-27, Stuttgart, Germany.

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Abstract

For upcoming spaceborne SAR mission the amount of data collected onboard is increasing, due to the employment of large bandwidths, multiple polarizations, and large swath widths, which lead to hard requirements in terms of onboard memory and downlink capacity. In this context, SAR raw data quantization represents an essential aspect, since it affects both the amount of data to be stored and transmitted to the ground and the quality of the resulting SAR products. In this paper, a data reduction approach based on predictive quantization is investigated in the context of Tandem-L, a DLR proposal for a highly innovative bistatic L-band radar satellite mission, aimed at monitoring the dynamic processes of the Earth. The proposed technique takes advantage of the time-variant autocorrelation properties of the non-uniform azimuth raw data stream in order to reduce the amount of data through a novel quantization method, named Predictive-Block Adaptive Quantization. Different prediction orders are investigated by considering the trade-off between achievable performance and complexity. Simulations for different target scenarios show that a data reduction of about 17.5% can be achieved with the proposed technique with a modest increase of the system complexity. Moreover, having a priori information on the gap positions in staggered SAR, a technique for their reconstruction based on dynamic bit allocation has been successfully implemented as well, showing no significant loss of information.

Item URL in elib:https://elib.dlr.de/126697/
Document Type:Conference or Workshop Item (Speech)
Title:Predictive Quantization for Staggered Synthetic Aperture Radar
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Gollin, NicolaNicola.Gollin (at) dlr.dehttps://orcid.org/0000-0003-0477-3273
Martone, MicheleMichele.Martone (at) dlr.dehttps://orcid.org/0000-0002-4601-6599
Villano, MichelangeloMichelangelo.Villano (at) dlr.dehttps://orcid.org/0000-0002-1769-6927
Rizzoli, PaolaPaola.Rizzoli (at) dlr.dehttps://orcid.org/0000-0001-9118-2732
Krieger, GerhardGerhard.Krieger (at) dlr.dehttps://orcid.org/0000-0002-4548-0285
Date:2019
Refereed publication:Yes
Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Page Range:pp. 1-4
Status:Accepted
Keywords:Synthetic Aperture Radar, Quantization, Predictive Coding, Staggered SAR, Tandem-L
Event Title:German Microwave Conference (GeMiC)
Event Location:Stuttgart, Germany
Event Type:international Conference
Event Dates:2019-03-25 - 2019-03-27
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Erdbeobachtung
DLR - Research theme (Project):R - Vorhaben Tandem-L Vorstudien
Location: Oberpfaffenhofen
Institutes and Institutions:Microwaves and Radar Institute > Spaceborne SAR Systems
Microwaves and Radar Institute > Radar Concepts
Deposited By: Gollin, Nicola
Deposited On:04 Mar 2019 10:28
Last Modified:04 Mar 2019 10:28

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