单脉冲雷达前视成像技术研究

发布时间：2018-03-20 09:26

本文选题：单脉冲　切入点：前视成像　出处：《南京航空航天大学》2017年硕士论文　论文类型：学位论文

【摘要】：单脉冲技术可以实现目标的高精度测角,将其用于机载或弹载雷达对地成像中,可实现合成孔径雷达(SAR)、多普勒波束形成(DBS)等技术难以实现的前视成像。相对于实波束成像,单脉冲成像能够进一步提高成像区内目标的方位精度,从而有效地改善运动平台雷达前视成像的图像清晰度。本文研究围绕单脉冲雷达前视成像技术展开,分别对单脉冲前视成像算法,单脉冲成像自聚焦算法以及基于超分辨技术的多通道雷达前视成像算法进行研究,内容主要包括:1.对单脉冲的测角原理进行了详细介绍,建立单脉冲雷达回波信号模型,给出了单脉冲成像算法的信号处理流程;通过对若干组仿真和实测数据进行的单脉冲成像处理,验证了单脉成像冲算法在实际应用中的可行性;最后对算法性能进行详细分析。2.对实际处理中单脉冲鉴角曲线误差引起的图像方位散焦进行了分析,并针对这一问题提出了两种适用于单脉冲成像的自聚焦算法,分别为基于最小熵的自聚焦算法和强点自聚焦算法;通过若干组仿真和实测数据的处理验证了两种算法的有效性。3.为进一步改善前视成像分辨率,针对单脉冲成像算法中波束内存在多个目标时测角失效问题,提出了基于超分辨技术的多通道雷达前视成像算法,将传统的Capon波束形成算法和MUSIC算法应用于雷达前视成像,建立相应的信号模型,并给算法的出信号处理流程;最终通过仿真数据的处理验证了算法的有效性。
[Abstract]:Monopulse technique can achieve high precision angle measurement of target. It can be used in ground imaging of airborne or missile borne radar. It can realize forward vision imaging which is difficult to realize by synthetic Aperture Radar (SAR) and Doppler Beamforming (DBS) technology. Monopulse imaging can further improve the azimuth accuracy of the target in the imaging area, thus effectively improving the image clarity of the moving platform radar forward-looking imaging. This paper focuses on monopulse radar forward-looking imaging technology. Monopulse forward imaging algorithm, monopulse imaging self-focusing algorithm and multi-channel radar forward imaging algorithm based on superresolution technology are studied respectively. The main contents include: 1. The principle of monopulse angle measurement is introduced in detail. The echo signal model of monopulse radar is established, the signal processing flow of monopulse imaging algorithm is given, and the feasibility of single-pulse imaging algorithm in practical application is verified by processing several groups of simulated and measured data. Finally, the performance of the algorithm is analyzed in detail. 2. The azimuth defocusing caused by the error of monopulse angle discrimination curve in practical processing is analyzed, and two self-focusing algorithms suitable for monopulse imaging are proposed to solve this problem. The two algorithms are self-focusing algorithm based on minimum entropy and strong point autofocus algorithm respectively. The validity of the two algorithms is verified by several groups of simulation and measured data processing. 3. In order to further improve the resolution of forward imaging, Aiming at the problem of angle measurement failure of multiple targets in the beam of monopulse imaging algorithm, a multi-channel radar forward imaging algorithm based on superresolution technology is proposed. The traditional Capon beamforming algorithm and MUSIC algorithm are applied to radar forward imaging. The corresponding signal model is established, and the signal processing flow is given. Finally, the validity of the algorithm is verified by the processing of simulation data.
【学位授予单位】：南京航空航天大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TN957.52

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