基于时变三维坐标重构的空间锥体目标微动特征提取方法

针对现有微动特征提取方法在散射系数复时变条件下不适用的问题,提出了一种基于时变三维坐标重构的微动特征提取方法。首先建立旋转对称空间锥体目标的微动信号模型,其次通过动态规划进行散射点分离,对各个散射点相位干涉处理后获得目标的时变三维像,最后利用高精度的三维坐标重构提取目标的三维微动特征。通过仿真实验在散射系数复时变的情况下进行微动特征提取,结果显示该方法的微动特征提取精度较传统方法有明显提高,可以较好地适用于散射系数复时变的情况。

Micro Motion Feature Extraction for Space Cone Targets Based on Time varying Three Dimensional Image Reconstruction

Aimed at the problem that the existing micro motion feature extraction method is unapplicable under the condition of the scattering coefficient of the complex time varying, this paper puts forward a kind of micro motion feature extraction method based on time varying 3 D image coordinate reconstruction. By the use of this method, firstly, the micro motion signal model of the rotating symmetric space cone target is established, then the scattering points are separated by dynamic programming to obtain the time varying three dimensional image of the target after the phase interference of each scattering point. And finally, the 3 D micro motion feature of the target is extracted by using high precision 3 D coordinate reconstruction. The simulation results show that the accuracy of the proposed method is better than that of the traditional method. The proposed method can be well applied to the case of complex time varying scattering coefficients.