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Training Data Selection and Update Strategies for Airborne Post-Doppler STAP

Barros Cardoso da Silva, Andre and Baumgartner, Stefan V. and Krieger, Gerhard (2019) Training Data Selection and Update Strategies for Airborne Post-Doppler STAP. IEEE Transactions on Geoscience and Remote Sensing, 57 (8), pp. 5626-5641. IEEE - Institute of Electrical and Electronics Engineers. doi: 10.1109/TGRS.2019.2901126. ISSN 0196-2892.

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Official URL: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8671501


Space-time adaptive processing (STAP) of multi-channel radar data is an established and powerful method for detecting ground moving targets, as well as for estimating their geographical positions and line-of-sight velocities. Crucial steps for practical applications are 1) the appropriate and automatic selection of the training data, and 2) the periodic update of these data to take into account the change of the clutter statistics over space and time. Improper training data and contamination by moving target signals may result in a decreased clutter suppression performance, an incorrect constant false alarm rate (CFAR) threshold and target cancellation by self-whitening. In this paper two conventional and two novel methods for training data selection are evaluated and compared using real 4-channel X-band radar data acquired with DLR’s airborne sensor F-SAR. In addition, a module for rejecting potential moving target signals and strong scatterers from the training data is proposed and discussed. All methods are evaluated for a conventional post-Doppler (PD) STAP processor and for a particular PD STAP that uses an a priori known road map.

Item URL in elib:https://elib.dlr.de/126892/
Document Type:Article
Title:Training Data Selection and Update Strategies for Airborne Post-Doppler STAP
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Barros Cardoso da Silva, AndreAndre.Silva (at) dlr.dehttps://orcid.org/0000-0001-5056-4013
Baumgartner, Stefan V.Stefan.Baumgartner (at) dlr.dehttps://orcid.org/0000-0002-8337-6825
Krieger, GerhardGerhard.Krieger (at) dlr.dehttps://orcid.org/0000-0002-4548-0285
Date:24 July 2019
Journal or Publication Title:IEEE Transactions on Geoscience and Remote Sensing
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In ISI Web of Science:Yes
DOI :10.1109/TGRS.2019.2901126
Page Range:pp. 5626-5641
Publisher:IEEE - Institute of Electrical and Electronics Engineers
Keywords:Synthetic aperture radar (SAR), radar signal processing, radar applications, radar detection, ground moving target indication (GMTI), road vehicle detection, airborne radar, traffic monitoring, clutter statistics change.
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
Deposited By: Barros Cardoso da Silva, Andre
Deposited On:04 Apr 2019 08:43
Last Modified:31 Jul 2019 20:24

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