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- W2006868350 abstract "We consider ground moving target indication (GMTI) and target velocity estimation based on multi-channelsynthetic aperture radar (SAR) images. Via forming velocity versus cross-range images, we show that smallmoving targets can be detected even in the presence of strong stationary ground clutter. Moreover, the velocitiesof the moving targets can be estimated, and the misplaced moving targets can be placed back to their originallocations based on the estimated velocities. Adaptive beamforming techniques, including Capon and generalizedlikelihoodratio test (GLRT), are used to form velocity versus cross-range images for each range bin of interest.The velocity estimation ambiguities caused by the multi-channel array geometry are analyzed. We also demonstratethe effectiveness of our approaches using the Air Force Research Laboratory (AFRL) publicly-releasedGotcha SAR based GMTI data set." @default.
- W2006868350 created "2016-06-24" @default.
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- W2006868350 date "2010-04-23" @default.
- W2006868350 modified "2023-09-23" @default.
- W2006868350 title "SAR based adaptive GMTI" @default.
- W2006868350 doi "https://doi.org/10.1117/12.849757" @default.
- W2006868350 hasPublicationYear "2010" @default.
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