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Efficient Onboard Quantization for Multichannel SAR Systems

Martone, Michele and Villano, Michelangelo and Younis, Marwan and Krieger, Gerhard (2019) Efficient Onboard Quantization for Multichannel SAR Systems. IEEE Geoscience and Remote Sensing Letters, pp. 1-5. IEEE - Institute of Electrical and Electronics Engineers. DOI: 10.1109/LGRS.2019.2913214 ISSN 1545-598X

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Official URL: https://ieeexplore.ieee.org/document/8717732

Abstract

In this letter, a novel method for onboard data reduction for multichannel synthetic aperture radar (SAR) (MC-SAR) systems is presented. Such systems allow for high-resolution imaging of a wide swath but, on the other hand, require for their operation the acquisition and downlink of a huge amount of data: together with the intrinsic requirement related to resolution and swath width, this is due to the use of a pulse repetition frequency (PRF) typically higher than the processed Doppler bandwidth (PBW), which introduces a certain oversampling in the azimuth raw data. In this context, we propose a convenient data reduction strategy, named multichannel block-adaptive quantization (MC-BAQ), which exploits the existing correlation between subsequent azimuth samples by performing a discrete Fourier transform (DFT) of the MC-SAR data block. Then, a variable-bit quantization is applied which allows for the optimization of the resulting performance and data rate. Simulations have been carried out on scenes with distributed scatterers showing different backscatter characteristics to demonstrate that the proposed MC-BAQ allows for a significant reduction of the data volume to be downlinked to the ground at the cost of a modest increase of onboard computational effort.

Item URL in elib:https://elib.dlr.de/131034/
Document Type:Article
Title:Efficient Onboard Quantization for Multichannel SAR Systems
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Martone, MicheleMichele.Martone (at) dlr.dehttps://orcid.org/0000-0002-4601-6599
Villano, MichelangeloMichelangelo.Villano (at) dlr.dehttps://orcid.org/0000-0002-1769-6927
Younis, Marwanmarwan.younis (at) dlr.dehttps://orcid.org/0000-0002-8563-7371
Krieger, GerhardGerhard.Krieger (at) dlr.dehttps://orcid.org/0000-0002-4548-0285
Date:2019
Journal or Publication Title:IEEE Geoscience and Remote Sensing Letters
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:Yes
DOI :10.1109/LGRS.2019.2913214
Page Range:pp. 1-5
Publisher:IEEE - Institute of Electrical and Electronics Engineers
ISSN:1545-598X
Status:Published
Keywords:Block-adaptive quantization (BAQ), data reduction, multichannel synthetic aperture radar (MC-SAR), transform coding.
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 - Projekt TanDEM-X
Location: Oberpfaffenhofen
Institutes and Institutions:Microwaves and Radar Institute > Spaceborne SAR Systems
Microwaves and Radar Institute > Radar Concepts
Deposited By: Martone, Michele
Deposited On:21 Nov 2019 15:02
Last Modified:21 Nov 2019 15:02

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