SAR场景欺骗干扰方法研究

发布时间：2018-06-08 00:26

本文选题：欺骗干扰 + 统计模型　；参考：《电子科技大学》2014年硕士论文

【摘要】：由于SAR系统的分辨率越来越高,在国防技术中的作用日益突出,为防止敌方雷达获取我方重要信息,掌握战场主动权,研究高相似度的SAR场景欺骗干扰显得尤其重要。目前的SAR欺骗干扰生成的干扰信号相似度低,容易识别,很难达到干扰目的。因此,深入分析SAR图像的纹理特征与散射特性,研究纹理与目标结合的SAR场景欺骗干扰对于国防技术的现代化具有重要意义。本文首先介绍SAR的基本原理和欺骗干扰机理,分析了SAR图像的特点以及基本特性,通过仿真实现了简单的欺骗干扰,比较并总结了欺骗干扰相对于其他干扰模式的优点以及要实现欺骗干扰存在的难点。接着分析了SAR场景的统计分布特性,介绍几种常见的统计分布模型,分析了统计模型的参数估计方法及检验准则,选取几种典型的SAR场景进行统计拟合实验,得到不同场景的最佳统计模型,根据统计模型再现典型场景,证明统计特性不能有效表示高分辨SAR场景的细节特征。然后为了生成高相似度的虚假场景,基于SAR图像的模型,论文研究了SAR图像典型场景的纹理合成方法、散射中心模型及其参数估计方法。分别介绍了基于点的纹理合成方法和基于块拼接的纹理合成方法,并通过仿真实现SAR场景的纹理合成。比较了两种合成方法的效果,使用合成效果更好的块拼接方法合成了SAR场景纹理。基于属性散射中心模型以及模型的参数估计方法提取了典型目标的散射中心,然后通过纹理与散射中心相结合提出一种SAR场景欺骗干扰方法,再根据欺骗干扰机理及相关成像算法,仿真实现了SAR场景欺骗干扰。本文最后研究了几种典型参数误差对于欺骗干扰效果的影响,通过理论分析及仿真实验得出结论:中心频率误差会使虚假目标在距离向产生位置偏移;调频斜率误差会使虚假目标散焦,主瓣展宽,主瓣峰值下降;多普勒斜率误差以及平台速度误差会导致虚假目标方位向产生位置偏移。同时研究了在一定指标下成功实现干扰所允许的误差范围。
[Abstract]:Because the resolution of SAR system is getting higher and higher, and it is playing an increasingly important role in national defense technology, in order to prevent the enemy radar from acquiring our important information and master the battlefield initiative, it is particularly important to study the SAR scene deception jamming with high similarity. At present, the jamming signals generated by SAR deceptive jamming have low similarity and easy recognition, so it is difficult to achieve jamming purpose. Therefore, it is of great significance for the modernization of national defense technology to analyze the texture features and scattering characteristics of SAR images, and to study the SAR scene spoofing jamming combined with texture and target. This paper first introduces the basic principle of SAR and the mechanism of deception jamming, analyzes the characteristics and basic characteristics of SAR images, and realizes a simple deception jamming by simulation. The advantages of deception jamming compared with other jamming modes and the difficulties to implement deception jamming are compared and summarized. Then, the statistical distribution characteristics of SAR scene are analyzed, several common statistical distribution models are introduced, the parameter estimation methods and test criteria of the statistical model are analyzed, and several typical SAR scenes are selected for statistical fitting experiments. The optimal statistical model of different scenes is obtained and the typical scene is reproduced according to the statistical model. It is proved that the statistical characteristics can not effectively represent the detail features of high-resolution SAR scenes. Then, in order to generate false scene with high similarity, based on the model of SAR image, the texture synthesis method, scattering center model and parameter estimation method of typical scene in SAR image are studied in this paper. The point-based texture synthesis method and the block-based texture synthesis method are introduced, and the SAR scene texture synthesis is realized by simulation. The effects of the two synthetic methods are compared, and the SAR scene texture is synthesized by using the better block stitching method. Based on the attribute scattering center model and the parameter estimation method of the model, the scattering center of a typical target is extracted, and then a deception jamming method for SAR scene is proposed by combining the texture with the scattering center. Then, according to the deception jamming mechanism and the imaging algorithm, the SAR scene deception jamming is simulated. Finally, the influence of several typical parameter errors on the effect of deception jamming is studied. Through theoretical analysis and simulation experiments, it is concluded that the center frequency error will cause the false target to shift in the distance direction; The frequency modulation slope error will cause the false target to defocus, the main lobe will widen and the main lobe peak value will decrease, while the Doppler slope error and the platform velocity error will lead to the false target azimuth deviation. At the same time, the allowable error range of interference is studied under certain targets.
【学位授予单位】：电子科技大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TN974

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