Due to the low Signal to Clutter Noise Ratio (SCNR), the residual stationary targets in a clutter suppressed multichannel Ultra-High Frequency (UHF) band Synthetic Aperture Radar (SAR) image may lead to an unacceptable false alarm rate. A method of moving target screening is presented in this paper, which can determine whether the target detected by the Constant False Alarm Rate (CFAR) detector is a real moving one. A moving target data recovery method is described, which can recover the Doppler phase history of any isolated target within a full ω-K SAR image. The recovered data is processed again into a sub-image by range Doppler processing, and the sub-image is refocused with azimuth autofocus processing. The sub-image will not change after refocusing if the target in it is a stationary one, and it will be refocused if the target is a moving one. The false moving target can be eliminated by detecting this change. The proposed method is demonstrated on simulated and real SAR Ground Moving Target Indication (GMTI) data.
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