Abstract
Deceptive jamming against synthetic aperture radar (SAR) can create false targets or deceptive scenes in the image effectively. Based on the difference in interferometric phase between the target and deceptive jamming signals, a novel method for detecting deceptive jamming using cross-track interferometry is proposed, where the echoes with deceptive jamming are received by two SAR antennas simultaneously and the false targets are identified through SAR interferometry. Since the derived false phase is close to a constant in interferogram, it is extracted through phase filtering and frequency detection. Finally, the false targets in the SAR image are obtained according to the detected false part in the interferogram. The effectiveness of the proposed method is validated by simulation results based on the TanDEM-X system.
Highlights
With its all-day, all weather, long-range, and wide-mapping capabilities, synthetic aperture radar (SAR) has been applied in a wide range of areas [1,2,3,4,5,6]
Barrage jamming can degrade the quality of SAR image significantly by raising the noise level, while deceptive jamming introduces some false targets to cover useful information or interfere with the target extraction and tracking algorithms employed in SAR [10,11,12]
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Summary
With its all-day, all weather, long-range, and wide-mapping capabilities, synthetic aperture radar (SAR) has been applied in a wide range of areas [1,2,3,4,5,6]. In [19], a detection scheme using dual antennas is proposed, where the false target is detected by cancelling the corresponding pixels in two SAR images with a proper weighting coefficient. In [20], the influence of SAR deceptive jamming on the InSAR process is studied and it is found that the property of interferometric phase between real targets and false ones are quite different. In this paper, to identify deceptive jamming more effectively, a novel approach is proposed based on cross-track interferometry by exploiting the interferometric phase differences between real targets and false ones in the corresponding SAR images. The proposed method detects deceptive jamming of SAR image with single-pass SAR interferometry.
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