空间自旋目标平动补偿与微动特征提取方法

Translational Motion Compensation and Micro-Doppler Feature Extraction of Space Spinning Targets

针对空间自旋目标平动补偿与微动(m-D)特征提取问题,提出一种基于延时共轭相乘和微动分解的平动补偿与特征提取方法。该方法通过延时共轭相乘处理实现目标加速度估计,然后构建冗余的微动原子集,对加速度补偿后信号进行微动分解补偿,通过搜索补偿信号的最大谱峰获取目标的微动特征与速度信息。仿真试验表明,所提方法能够有效估计空间自旋目标的运动参数,并快速提取其微动特征。

In order to compensate the translational motion and extract the microDoppler (mD) feature of the space spinning targets, a novel method based on the delayed conjugated multiplication and mD compensation is put forward. The translational acceleration is estimated by the delayed conjugated multiplication processing. A set of mD basissignals are generated by discretizing the mD parameter domain. Thus after acceleration compensation processing, the echo is compensated by the mD basissignals. The mD feature and residual velocity can be achieved by searching the maximum spectralpeak. Finally, the simulations demonstrate the proposed method can estimate the motion parameters effectively and extract the mD feature quickly.