| 引用本文: | 杨凯陟1,2，冉达1，叶伟1，马方方3. 基于稀疏正则化的SAR欺骗干扰模板预处理[J]. 雷达科学与技术, 2021, 19(6): 709-716.[点击复制] |
| YANG Kaizhi, RAN Da, YE Wei, MA Fangfang. SAR Deceptive Jamming Template Preprocessing Based on Sparse Regularization[J]. Radar Science and Technology, 2021, 19(6): 709-716.[点击复制] |
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| 摘要: |
| 由于具有低功耗、高隐蔽性等独特优势，欺骗干扰已经成为SAR对抗领域的研究热点。在从干扰模板到干扰信号，再到成像处理这一过程中，受干扰对象的带宽限制，以及干扰模板自身的旁瓣、杂波、噪声等因素影响，最终生成的虚假图像会出现明显的模糊现象，无法实现对干扰模板的准确还原。针对该问题，本文从模板变换过程中的等效低通滤波模型入手，将稀疏正则化重构方法应用于干扰模板预处理，以达到抑制图像模糊，增强欺骗效果的目的。在具体实现方式上，给出了基于匹配追踪和软阈值迭代的算法步骤，并且结合仿真实验对各算法的特点进行了分析。实验结果表明，所提出的干扰模板预处理方法能够有效抑制所生成图像中的模糊现象，提高干扰效果。同时，该方法还可为SAR图像增强以及散射中心提取等方面应用提供有益借鉴。 |
| 关键词: 合成孔径雷达 欺骗干扰 正则化 稀疏重构 |
| DOI：DOI:10.3969/j.issn.1672-2337.2021.06.010 |
| 分类号:TN972 |
| 基金项目: |
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| SAR Deceptive Jamming Template Preprocessing Based on Sparse Regularization |
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YANG Kaizhi, RAN Da, YE Wei, MA Fangfang
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1.Space Engineering University, Beijing 101416, China;2. Unit 94657 of PLA, Jiujiang 332104, China;3. Institute of Logistics Science and Technology, Academy of System Engineering, Academy of Military Science, Beijing 100071, China
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| Abstract: |
| Due to the advantages such as low power consumption and higher concealment, the deceptive jamming against SAR has received extensive attentions. In the process from the template to the image, due to the bandwidth limitation of the jamming object, and the sidelobes, clutter, noise in the template, the generated false image will be blurred obviously, and unable to achieve accurate restoration of the template. To solve the problem, this paper starts with the equivalent low-pass filtering model in the template transformation, and applies the sparse regularization reconstruction method to the template preprocessing to suppress the image blur and enhance the deception effect. In the specific implementation, the algorithms based on matching pursuit and iterative soft thresholding are given, and the characteristics of each algorithm are analyzed in combination with simulation. The experimental results show that the proposed preprocessing method can effectively suppress the blur in the generated image and improve the interference effect. At the same time, this method can also provide useful reference for SAR image enhancement and scattering center extraction applications. |
| Key words: synthetic aperture radar(SAR) deceptive jamming regularization sparse reconstruction |
