基于混和时频分析方法的ISAR成像研究
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摘要
采用了一种混合时频算法来克服传统时频算法ISAR成像时交叉项干扰问题,提高成像分辨率;提出了"数据分割-时频分析与采样-数据拼接"成像加速方法提高ISAR成像处理效率.应用强散射回波点目标某飞机模型做仿真实验.对比传统ISAR时频分析方法和本文方法成像表明:本方法成像质量高,关键细节清晰可见,基本消除了无交叉项干扰,时频分辨率高:成像加速算法较传统成像算法缩短了一半以上的成像处理时间,成像实时性得到了显著提升。
In order to overcome the cross-term interference of the traditional time-frequency calculation for the inverse synthetic aperture radar(ISAR),a hybridized Time-Frequency algorithm is presented to improve the imaging resolution.Firstly,the imaging processing efficiency of ISAR is raised using a novel imaging speed method of the data segmentation,time-frequency analysis and sampling and data matching.Secondly,a model plane with the strong scattering echo point target simulation experiment is carried out.Finally,the traditional ISAR frequency analysis and the new proposed method are compared.The experimental results show that the proposed method has the following advantages,such as high quality of image formation,more clearly dealing with key details,almost eliminating the effects of cross-term interference and high Time-Frequency resolution.Imaging speed algorithm shortens more a half time of the imaging processing than traditional one,and the real-time imaging is significantly increased.
引文
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