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提出一种自适应的逆合成孔径雷达 (ISAR)图像的时频分析方法 ,它将时频信号分解算法—自适应高斯基表示 (AGR)方法与ISAR图像处理相结合。得益于高斯基函数方差的自适应调整 ,可自动地将图像中的理想点散射中心与非点散射结构区分开来。分别对ISAR图像的径向与横向距离轴进行上述变换 ,可解构出非点散射中心随角度或随频率变化的特性。应用该方法对仿真数据及飞机目标实测数据所成的ISAR图像进行时 -频分析 ,结果表明该方法正确可行 ,且物理意义明确
A time-frequency analysis method of adaptive inverse synthetic aperture radar (ISAR) image is proposed, which combines the time-frequency signal decomposition algorithm - adaptive Gaussian basis representation (AGR) with ISAR image processing. Due to the adaptive adjustment of the variance of Gaussian function, the ideal point scattering center in the image can be distinguished from the non-point scattering structure automatically. The above transformation of radial and transverse distance axes of ISAR images can be used to deconstruct the characteristics of non-point scattering center with angle or frequency. The time-frequency analysis of the ISAR images generated by the simulation data and the measured data of the aircraft targets using this method shows that the method is correct and feasible and the physical meaning is clear