一种自适应的ISAR图像时-频分析方法

An Adaptive Method of ISAR Image Time Frequency Analysis

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 。

A new adaptive time frequency Inverse Synthetic Aperture Radar (ISAR) image analytical method is presented, which combines the ISAR processing with the time frequency analysis algorithm Adaptive Guassian Representation(AGR) This technique uses Guassian basis function to adaptively parameterize the data And as a consequence, the point scattering and dispersive scattering mechanisms can be readily separated based on the width of the Guassian bases Applying this transformation to range and crossrange axis of ISAR image can extract the frequency dependent and the aspect dependent features of nonpoint scattering centers respectively The method is tested by using simulation data and real data The results show that it is a robust tool to post process ISAR image And it can provide additional information about the pointlike and dispersive scatting mechanisms that can be useful for ATR