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Suppression of Clutter in Multichannel SAR GMTI
Blekinge Institute of Technology, School of Engineering, Department of Electrical Engineering.
Blekinge Institute of Technology, School of Engineering, Department of Electrical Engineering.
Blekinge Institute of Technology, School of Engineering, Department of Electrical Engineering.ORCID iD: 0000-0002-6643-312X
Blekinge Institute of Technology, School of Engineering, Department of Electrical Engineering.
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2014 (English)In: IEEE Transactions on Geoscience and Remote Sensing, ISSN 0196-2892, E-ISSN 1558-0644, Vol. 52, no 7, 4005-4013 p.Article in journal (Refereed) Published
Abstract [en]

In this paper, results of moving target detection in multichannel UHF-band Synthetic Aperture Radar (SAR) data are shown. The clutter suppression is done using Finite Impulse Response (FIR) filtering of multichannel SAR in combination with a 2-stage Fast Backprojection (FBP) algorithm to focus the moving target using relative speed. The FIR filter coefficients are chosen with the use of STAP filtering. Two parameters are used for target focusing, target speed in range and in azimuth. When the target is focused, both speed parameters of the target are found. In the experimental results, two channels were used in order to suppress clutter. In the resulting SAR images it is obvious that very strong scatterers and the forest areas have been suppressed in comparison to the moving target in the image scene. The gain obtained can be measured using SCNR gain, which is about 19dB. Another way to measure signal processing gain is the ability to suppress the strongest reflecting object in the SAR scene. The gain of target in relation to this object is 25dB. This shows that using UHF-band SAR GMTI for suppressing forest and increasing the target signal can work.

Place, publisher, year, edition, pages
IEEE , 2014. Vol. 52, no 7, 4005-4013 p.
National Category
Signal Processing
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URN: urn:nbn:se:bth-6725DOI: 10.1109/TGRS.2013.2278701ISI: 000332597100022Local ID: oai:bth.se:forskinfo6E8077E5D9C20BBAC1257C1200299154OAI: oai:DiVA.org:bth-6725DiVA: diva2:834258
Available from: 2014-04-23 Created: 2013-10-28 Last updated: 2017-03-08Bibliographically approved

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Sjögren, ThomasVu, VietPettersson, MatsWang, Feng
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