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Efficient Clutter and Noise Filtering for Improved ISAR Imaging

Baumgartner, Stefan V. and Joshi, Sushil Kumar (2021) Efficient Clutter and Noise Filtering for Improved ISAR Imaging. In: Proceedings of the European Conference on Synthetic Aperture Radar, EUSAR. European Conference on Synthetic Aperture Radar (EUSAR), 2021-03-29 - 2021-04-01, Leipzig, Germany.

Full text not available from this repository.

Abstract

One crucial step and prerequisite for generating high-resolution range profiles (HRRPs) and ISAR images of non-cooperative moving targets is the alignment of the successively acquired range profiles. Especially under low signal-to-clutter plus noise ratio (SCNR) the range alignment performance deteriorates and may prevent the generation of useful HRRP and ISAR images at all. In the paper a novel method for filtering clutter and noise prior to range profile alignment is introduced and discussed. Simulations and real L- and X-band airborne radar data acquired with DLR's F-SAR system are used for demonstrating the efficiency of the proposed method.

Item URL in elib:https://elib.dlr.de/134214/
Document Type:Conference or Workshop Item (Speech)
Title:Efficient Clutter and Noise Filtering for Improved ISAR Imaging
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Baumgartner, Stefan V.UNSPECIFIEDhttps://orcid.org/0000-0002-8337-6825UNSPECIFIED
Joshi, Sushil KumarUNSPECIFIEDhttps://orcid.org/0000-0002-4494-5255UNSPECIFIED
Date:April 2021
Journal or Publication Title:Proceedings of the European Conference on Synthetic Aperture Radar, EUSAR
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:No
Status:Published
Keywords:Synthetic Aperture Radar, SAR, Inverse SAR, Maritime Security, Ship Detection, Ship Monitoring, Radar Signal Processing, Radar Imaging
Event Title:European Conference on Synthetic Aperture Radar (EUSAR)
Event Location:Leipzig, Germany
Event Type:international Conference
Event Dates:2021-03-29 - 2021-04-01
Organizer:VDE
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Transport
HGF - Program Themes:Road Transport
DLR - Research area:Transport
DLR - Program:V ST Straßenverkehr
DLR - Research theme (Project):V - D.MoVe (old)
Location: Oberpfaffenhofen
Institutes and Institutions:Microwaves and Radar Institute > Radar Concepts
Deposited By: Baumgartner, Dr.-Ing. Stefan V.
Deposited On:27 Feb 2020 16:42
Last Modified:03 Dec 2021 18:33

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