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Target feature extraction using time-frequency representation in synthetic aperture radar

Synthetic aperture radar (SAR) can produce high-resolution images if illuminated terrain by coherently processing the data collected by a single antenna at different locations. In SAR imaging, Scatterers often perform the frequency and aspect angle dependent reflectivity characteristic, which is usually neglected in the traditional imaging processing. The target detection and recognition process requires additional processing to form enhanced SAR images, in which features of man-made objects are easier to identify. In this paper, a novel time-frequency representation imaging formation (TFRIF) is used to extract the frequency and aspect-dependent information without loss of azimuth resolution, which gives additional features in the following targets detection and recognition processing. Simulation results validate the efficiency of the TFR method.