跳频脉冲ISAR成像运动补偿的最小波形熵方法

采用跳频脉冲信号作为逆合孔径雷达（ＩＳＡＲ）的宽带信号形成，并在此基础上提出了一种运动补偿新方法－最小波形熵参数估计法，该方法将目标速度、加速度运动参数估计的二维搜索问题转化为两上一维搜索问题，使运算量大为减少，便于实时处理，计算机仿真结果表明该方法参数估计精度高，对噪声的影响具有一定的稳健性，可满足一定杂波背景下对目标成像的要求。

The least waveform entropy method of motion compensation for hopped-frequency ISAR imaging

By the adoption of the hopped frequency pulses waveform to inverse synthetic aperture radar (ISAR), a novel method for motion compensation in ISAR imaging, named the least waveform entropy method of parameter estimation, is proposed, which is able to convert a two dimension search for the velocity and acceleration of a target into two one dimension searches for the velocity and acceleration respectively, thus decreasing the computational cost greatly, and realizing real time processing conveniently. Simulation results indicate that the method can accomplish accurate estimation of motion parameters of a target with a good anti noise performance, thus making it possible to image a target in clutter background.