Print Email Facebook Twitter Radar Target and Moving Clutter Separation Based on the Low-Rank Matrix Optimization Title Radar Target and Moving Clutter Separation Based on the Low-Rank Matrix Optimization Author Yin, J. (TU Delft Atmospheric Remote Sensing) Unal, C.M.H. (TU Delft Atmospheric Remote Sensing) Schleiss, M.A. (TU Delft Atmospheric Remote Sensing) Russchenberg, H.W.J. (TU Delft Geoscience and Remote Sensing) Department Geoscience and Remote Sensing Date 2018 Abstract A novel algorithm is put forward to separate radar target and moving clutter based on a combination of the low-rank matrix optimization (LRMO) and the decision tree. Similar to the moving object detection in the field of automated video analysis, the proposed separation method, which is carried out in the range-Doppler domain, makes use of different motion variations of radar target and clutter in the spectrogram sequence. The technique is very general, but the focus of this paper is on narrowband moving clutter suppression in a weather radar. The first step in implementing this method is the generation of a range-Doppler spectrogram sequence. Then, the LRMO is applied to the obtained sequence to divide target and moving clutter into foreground and background. From the foreground sequence which is obtained by solving the LRMO, foreground frequency and spectral width are combined in a decision tree to obtain a filtering mask to mitigate the narrowband moving clutter and noise. Data collected by a polarimetric Doppler weather radar known as the IRCTR Drizzle Radar are used to validate the performance of the proposed algorithm. Moreover, its effectiveness in removing narrowband moving clutter is quantitatively assessed through comparisons with another clutter mitigation method. Subject ClutterDecision treeDoppler effectDoppler radarlow-rank matrix optimization (LRMO)Meteorological radarnarrowband moving clutterRadar clutterrange-Doppler spectrogram sequenceSpectrogramtarget and clutter separationweather radar. To reference this document use: http://resolver.tudelft.nl/uuid:78b84aa2-b431-4ab6-8989-73d4d87f660c DOI https://doi.org/10.1109/TGRS.2018.2837051 Embargo date 2018-12-31 ISSN 0196-2892 Source IEEE Transactions on Geoscience and Remote Sensing, 56 (8), 4765 - 4780 Bibliographical note Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public. Part of collection Institutional Repository Document type journal article Rights © 2018 J. Yin, C.M.H. Unal, M.A. Schleiss, H.W.J. Russchenberg Files PDF Radar_Target_and_Moving_C ... zation.pdf 10.98 MB Close viewer /islandora/object/uuid:78b84aa2-b431-4ab6-8989-73d4d87f660c/datastream/OBJ/view