SAR deception jamming identification via differential feature enhancement

This paper proposes a new scheme for SAR deception jamming identification using single channel data. The time-frequency distributions of the real echoes and the deception jamming are modeled according to their formatting mechanisms. By filtering in the Doppler frequency domain, the differential features of the real and the false targets are retained. Then the distances between histograms are calculated to enhance the feature for false target identification. Targets in different size are set in the simulating experiment to verify the effectiveness of the proposed method.

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