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Automatic CFAR Ship Detection in Single-Channel Range-Compressed Airborne Radar Data

Joshi, Sushil Kumar and Baumgartner, Stefan V. (2019) Automatic CFAR Ship Detection in Single-Channel Range-Compressed Airborne Radar Data. In: Proceedings International Radar Symposium. International Radar Symposium 2019, 2019-06-26 - 2019-06-28, Ulm, Germany.

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The present paper proposes a novel real time oriented ship detection method using single-channel range-compressed airborne radar data. The target detection threshold is computed in range-Doppler domain using constant false alarm rate (CFAR) based sea clutter models. An appropriate training data to compute a bias-free threshold is extracted after performing two major steps. First is the target pre-detection and cancellation in time domain with the proposed pre-detection algorithm. Second is the clutter normalization using the remaining data in Doppler domain. Suitable sea clutter models are then fit to determine the threshold. Real single-channel range-compressed data from DLR’s F-SAR system is used to verify the proposed method.

Item URL in elib:https://elib.dlr.de/127275/
Document Type:Conference or Workshop Item (Poster)
Title:Automatic CFAR Ship Detection in Single-Channel Range-Compressed Airborne Radar Data
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Joshi, Sushil KumarSushil.Joshi (at) dlr.dehttps://orcid.org/0000-0002-4494-5255
Baumgartner, Stefan V.Stefan.Baumgartner (at) dlr.dehttps://orcid.org/0000-0002-8337-6825
Date:1 April 2019
Journal or Publication Title:Proceedings International Radar Symposium
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In ISI Web of Science:No
Keywords:Target detection, Radar, Oceanography
Event Title:International Radar Symposium 2019
Event Location:Ulm, Germany
Event Type:international Conference
Event Dates:2019-06-26 - 2019-06-28
Organizer:Deutsche Gesellschaft für Ortung und Navigation (DGON)
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
Location: Oberpfaffenhofen
Institutes and Institutions:Microwaves and Radar Institute > Radar Concepts
Deposited By: Joshi, Sushil Kumar
Deposited On:29 Apr 2019 08:05
Last Modified:22 Nov 2019 10:20

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