空间自旋目标平动补偿与微动特征提取方法

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。

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

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.