A Novel Technique for Generation of Multiple Noise Patches on SAR Image

Ammar, Mohamed A.; Abdel-Latif, Mohamed S.

doi:10.1109/iceeng45378.2020.9171758

Cited by 4 publications

(4 citation statements)

References 14 publications

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“…There is a significant saving in the jamming power used by the proposed deception technique than other jamming techniques in [5][6][7][8]. It is possible to implement the proposed jamming technique in practice rather than the other jamming techniques in [5][6][7][8] due to the saving in the jamming power. Fig.…”

Section: Jsr Comparison Of the Proposed Deceptive Jamming Technique W...mentioning

confidence: 99%

“…Fig. 10 shows the comparison of the required jamming power of different jamming techniques in [5][6][7][8] to counter SAR. Different jamming techniques, such as the noise jamming technique in [5], the smart noise jamming in [6], and the complete scene deception in [8] require JSR = 25; 20; 7 dB, respectively, to counter SAR.…”

Section: Jsr Comparison Of the Proposed Deceptive Jamming Technique W...mentioning

confidence: 99%

“…Controlling both NSPR and NSTR allows the possibility to determine the coverage of the convolution noise jamming on the output image of SAR, which consequently allows smart use of the power to produce high intensity noise strips or patches to cover specific target area rather than covering the whole scene. In [7], a novel jamming technique is proposed to generate effective jamming against SAR to protect multiple displaced targets given availability of limited jamming power, which is a typical situation. This technique utilizes, in its core, the convolution noise jamming which has proven to allow high level of controllability.…”

Section: Introductionmentioning

confidence: 99%

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Synthetic Aperture Radar Active Decoy

Elgamel

Abdel-Latif

2022

AiMT

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Synthetic aperture radar (SAR) has been widely involved in military reconnaissance and detection of moving targets. SAR active decoy can generate deceptive jamming signal and it can severely affect the content of SAR focused image. SAR range Doppler algorithm (RDA) is considered as one of the most common algorithms utilized in the image formation processor (IFP) in SAR sensors. In this paper, the inverse RDA (IRDA) deception jamming technique and its evaluation criteria on SAR are demonstrated. Mathematical formulations for SAR RDA with and without deception jamming are presented. Matlab simulation and results of SAR RDA under the proposed deception scenario are discussed. SAR point target simulation of the proposed deceptive jamming and false target insertion into real large scene are also introduced. Comparison of the proposed deceptive jamming to signal power ratio (JSR) required to counter SAR with other SAR jamming techniques is analyzed.

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Section: Jsr Comparison Of the Proposed Deceptive Jamming Technique W...mentioning

confidence: 99%

Section: Jsr Comparison Of the Proposed Deceptive Jamming Technique W...mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Synthetic Aperture Radar Active Decoy

Elgamel

Abdel-Latif

2022

AiMT

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“…Synthetic aperture radar (SAR) is a high-resolution remote sensing technique widely used in military reconnaissance and civil applications worldwide due to its strong penetration and ability to operate in daytime, nighttime, and all-weather conditions [1][2][3]. Various radar electronic countermeasures (ECM) have been developed in recent decades to prevent the detection of sensitive targets and protected areas by enemy SAR [1,3,4].…”

Section: Introductionmentioning

confidence: 99%

Generation of a synthetic aperture radar deception jamming signal based on a deep echo inversion network

Xiao

Dai

et al. 2023

IET Radar Sonar & Navi

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Existing methods for generating synthetic aperture radar (SAR) deception jamming signals have slow speed, low imaging quality, and insufficient intelligence in complex electromagnetic environments. This paper proposes a deep learning-based SAR deception jamming signal generation method based on deep echo inversion Unet (DEIUnet). This method has high speed and provides high-image quality of the interference signal. A Swin Next (SN) block is proposed to combine local and non-local information in the image and echo data. The Unet structure consists of SN blocks, and a residual connection is used as the jump connection to fuse the multi-scale feature information from the echo and image data. PixelShuffle is utilised for up-sampling to generate high-quality echo data. The experimental results on MSTAR and Sentinel-1 data sets verify the effectiveness and superiority of DEIUnet for echo inversion. The imaging results of the SAR deception jamming signal generated by DEIUnet on an MSTAR scene confirm the effectiveness of the proposed method. K E Y W O R D S deception jamming signal generation, deep echo inversion unet (DEIUnet), synthetic aperture radar (SAR)This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

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