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A hybrid GMTI method for reliable detec ion results in SAR images
Blekinge Institute of Technology, Faculty of Engineering, Department of Mathematics and Natural Sciences.ORCID iD: 0000-0003-3945-8951
Blekinge Institute of Technology, Faculty of Engineering, Department of Mathematics and Natural Sciences.ORCID iD: 0000-0002-6643-312X
Swedish Def Res Agcy, SWE.
2018 (English)In: PROCEEDINGS OF 2018 2ND INTERNATIONAL CONFERENCE ON RECENT ADVANCES IN SIGNAL PROCESSING, TELECOMMUNICATIONS & COMPUTING (SIGTELCOM 2018) / [ed] Bao, VNQ Duy, TT, IEEE , 2018, p. 73-78Conference paper, Published paper (Refereed)
Abstract [en]

Stand-alone synthetic aperture radar (SAR) ground moving target indication (GNITI) methods have both advantages and disadvantages. This paper introduces a hybrid SAR GMTI method that is based on two well-known methods: space time adaptive processing (STAP) and moving target detection by focusing (MTDF). The input of the proposed hybrid method is two time separated complex radar images. The output is detected ground moving targets, the target normalized relative speeds (NRS), and focused images of the detected targets. In the paper, we provide the mathematical background behind the hybrid SAR GMTI method in details. We also provide some experimental results for validating the proposed method. The data for the experiments was acquired in early 2015 by TanDEMX and TerraSAR-X operating in monostatic pursuit mode. The ground scene where the measurements were conducted is around Mantorp, west of Linkoping, Sweden.

Place, publisher, year, edition, pages
IEEE , 2018. p. 73-78
National Category
Telecommunications Other Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:bth-17697ISI: 000458556800014ISBN: 978-1-5386-2976-5 (print)OAI: oai:DiVA.org:bth-17697DiVA, id: diva2:1294299
Conference
Conference: 2nd International Conference on Recent Advances in Signal Processing, Telecommunications and Computing (SigTelCom), Ho Chi Minh, JAN 29-31
Available from: 2019-03-07 Created: 2019-03-07 Last updated: 2021-03-26Bibliographically approved

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Vu, Viet ThuyPettersson, MatsSjögren, Thomas

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CiteExportLink to record
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  • apa
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  • asciidoc
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