机动目标ISAR成像关键技术研究
[Abstract]:Inverse synthetic Aperture Radar (Inverse Synthetic Aperture Radar,ISAR) has great application value in the field of national security and national economy. However, there are still some problems in imaging maneuvering target echo. In the state of maneuvering motion, after the radar echo signal motion compensation, it still contains the high-order phase term, such as acceleration, which leads to the defocusing of the reconstructed two-dimensional image in the azimuth direction and the degradation of the imaging quality. In addition, the radar echo signal will be affected by the radial velocity and acceleration of maneuvering target under the stepwise frequency system. In order to solve the above problems, the ISAR imaging processing and one dimensional range image reconstruction of maneuvering targets are studied and solutions are proposed. Firstly, this paper introduces the basic principle of ISAR imaging, including the imaging model of ISAR turntable and LFM signal, and summarizes the methods of pulse compression and motion compensation. In addition, the experimental simulation of aircraft target echo and RD imaging algorithm provides a theoretical basis for the subsequent maneuvering target ISAR imaging. Secondly, the echo characteristics of strong maneuvering target are analyzed in detail, and the cubic phase signal (Cubic Phase Signal,CPS model of strong maneuvering target is established. Aiming at the problem of azimuth defocusing caused by frequency modulation and quadratic frequency modulation in CPS, a phase difference divide-FM Fourier transform algorithm is proposed. First, all the parameters of CPS are estimated, then the target echo signal is reconstructed, then the high resolution ISAR image can be obtained by using the RD algorithm. The simulation results of MATLAB show that the algorithm can obtain better imaging results. Then, the influence of target maneuvering on one-dimensional range profile of step frequency pulse echo signal is studied. The influence of acceleration and velocity on range imaging is analyzed in detail. A parameter estimation method based on summation cubic phase function (Integrated Cubic Phase Function,ICPF) is proposed to estimate the target motion parameters accurately. Then the motion compensation is accomplished by Dechirp technique, and the high resolution range profile is obtained by inverse fast Fourier transform. At the same time, the high resolution imaging of step frequency pulse signal is simulated, and the effectiveness of the method is verified. Finally, the paper summarizes all the work and looks forward to the problems that need to be studied in the future.
【学位授予单位】:南京邮电大学
【学位级别】:硕士
【学位授予年份】:2017
【分类号】:TN957.52
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