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Clutter heterogeneity caused by cultivation variation of the terrain properties degrades STAP detection performance. In recent years, a priori knowledge sources has been used directly and indirectly for STAP performance improvement. Monostatic radar systems are typically considered, but in the bistatic case, strong clutter non-stationarity introduced by the geometry makes convetional STAP not possible...
Moving targets appear defocused within SAR images and their detection is a challenging especially in the case of targets embedded in strong clutter. Moreover, in bistatic geometries, the clutter echo returns are range dependent. This situation degrades significantly STAP performance. In this paper, an adaptive compensation to homogenize data is performed first. This operation allow the proposed Space...
Moving targets appear defocused within SAR images and their detection is challenging especially in the case of ground targets that are embedded in strong ground clutter. STAP methods show optimal results in the clutter and interference suppression when the signal environment is stationary. This improves detection performance and allows for the application of ISAR based techniques which are then used...
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