ICA application to anti-noise jamming of SAR
Yang Wan-lin
Abstract
Yang Wan-lin
Abstract
Based on the denoising principle of the independent component analysis(ICA) a new anti-noising jamming of the SAR method is proposed in order to remove the noise jamming mixed in the echo of Synthetic-Aperture Radar(SAR).By using the noise jamming signal and the echo data of the SAR as the extension of the artificial observed signal the source echo of the SAR is separated and obtained.In this way the noise jamming can be effectively removed.The simulated stripSAR point target imaging experiment is carried on.The results show that this way is effective in removing the noise jamming mixed in the echo of the SAR.
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Based on the denoising principle of the independent component analysis(ICA) a new anti-noising jamming of the SAR method is proposed in order to remove the noise jamming mixed in the echo of Synthetic-Aperture Radar(SAR).By using the noise jamming signal and the echo data of the SAR as the extension of the artificial observed signal the source echo of the SAR is separated and obtained.In this way the noise jamming can be effectively removed.The simulated stripSAR point target imaging experiment is carried on.The results show that this way is effective in removing the noise jamming mixed in the echo of the SAR.
Key concepts: Jamming, Radar jamming and deception, Echo (communications protocol), Computer science, Noise (video), Synthetic aperture radar, SIGNAL (programming language), Point target