SAR欺骗干扰抑制和目标高分辨成像方法的研究
发布时间：2018-10-17 21:22
【摘要】：合成孔径雷达(Synthetic Aperture Radar,SAR)作为一种全天时、全天候、大范围、高分辨的新型传感器,其不仅仅被应用于军事领域,还被广泛应用于社会经济的发展中。现代雷达面临着日益复杂的电磁环境,各种无源与有源干扰给雷达正常发挥带来了严峻挑战。相比无源干扰,雷达有源干扰对雷达具有更强的针对性及灵活性,已成为威胁现代雷达的主要手段之一。由于新的有源干扰样式的不断出现,因此,针对SAR进行抗干扰的技术研究成为了军事信息对抗研究领域中的一项重要课题。本文主要研究了SAR抗有源干扰的方法及基于压缩感知的抗干扰图像重建的方法,主要内容及创新工作包括:首先,详细叙述了SAR研究背景与意义,SAR抗干扰技术的研究现状,压缩感知的发展与应用,研究了SAR成像、欺骗干扰及压缩感知基本原理,提出将压缩感知理论应用于SAR抗欺骗干扰研究。然后,研究了SAR方位向非均匀采样的抗干扰原理及性能,分析了经典的基于频域精确重构算法,并构建了非均匀脉冲SAR的压缩感知测量模型,最后通过仿真将基于压缩感知的重建算法和传统重建算法进行了对比分析。最后,为了降低传统的随机非均匀采样的数据冗余,构建了基于互质采样与嵌入式采样的稀疏非均匀采样SAR模型,分析了采样抖动对该采样方式成像结果的影响,并给出了基于压缩感知的稀疏非均匀采样算法流程图,计算机仿真数据与实际数据表明该方法的有效性。
[Abstract]:Synthetic Aperture Radar (Synthetic Aperture Radar,SAR) is a new type of sensor, which is applied not only in military field, but also in the development of social economy. Modern radar is faced with increasingly complex electromagnetic environment. Various passive and active jamming bring severe challenge to radar. Compared with passive jamming, radar active jamming has more pertinence and flexibility to radar, and has become one of the main methods threatening modern radar. Because of the emergence of new active jamming patterns, the research of anti-jamming technology for SAR has become an important subject in the field of military information countermeasure. This paper mainly studies the methods of SAR anti-active jamming and anti-jamming image reconstruction based on compression perception. The main contents and innovations are as follows: firstly, the background and significance of SAR research and the research status of SAR anti-jamming technology are described in detail. The basic principles of SAR imaging, deception jamming and compression sensing are studied. The theory of compression sensing is applied to the study of SAR anti-deception interference. Then, the anti-jamming principle and performance of SAR azimuth nonuniform sampling is studied, the classical accurate reconstruction algorithm based on frequency domain is analyzed, and the compression sensing measurement model of non-uniform pulse SAR is constructed. Finally, the compression perception based reconstruction algorithm and the traditional reconstruction algorithm are compared and analyzed by simulation. Finally, in order to reduce the data redundancy of traditional random non-uniform sampling, a sparse non-uniform sampling SAR model based on mutual-quality sampling and embedded sampling is constructed, and the influence of sampling jitter on the imaging results is analyzed. The flow chart of sparse non-uniform sampling algorithm based on compressed sensing is given. The computer simulation data and the actual data show the effectiveness of the method.
【学位授予单位】：燕山大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：TN957.52
本文编号：2278026
[Abstract]:Synthetic Aperture Radar (Synthetic Aperture Radar,SAR) is a new type of sensor, which is applied not only in military field, but also in the development of social economy. Modern radar is faced with increasingly complex electromagnetic environment. Various passive and active jamming bring severe challenge to radar. Compared with passive jamming, radar active jamming has more pertinence and flexibility to radar, and has become one of the main methods threatening modern radar. Because of the emergence of new active jamming patterns, the research of anti-jamming technology for SAR has become an important subject in the field of military information countermeasure. This paper mainly studies the methods of SAR anti-active jamming and anti-jamming image reconstruction based on compression perception. The main contents and innovations are as follows: firstly, the background and significance of SAR research and the research status of SAR anti-jamming technology are described in detail. The basic principles of SAR imaging, deception jamming and compression sensing are studied. The theory of compression sensing is applied to the study of SAR anti-deception interference. Then, the anti-jamming principle and performance of SAR azimuth nonuniform sampling is studied, the classical accurate reconstruction algorithm based on frequency domain is analyzed, and the compression sensing measurement model of non-uniform pulse SAR is constructed. Finally, the compression perception based reconstruction algorithm and the traditional reconstruction algorithm are compared and analyzed by simulation. Finally, in order to reduce the data redundancy of traditional random non-uniform sampling, a sparse non-uniform sampling SAR model based on mutual-quality sampling and embedded sampling is constructed, and the influence of sampling jitter on the imaging results is analyzed. The flow chart of sparse non-uniform sampling algorithm based on compressed sensing is given. The computer simulation data and the actual data show the effectiveness of the method.
【学位授予单位】：燕山大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：TN957.52
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