分析了具有旋转部件的运动目标回波信号的特点,提出了以单频信号和正弦调频信号为原子的双信号集匹配分解法。利用该算法,可以从含有单频分量和正弦调频分量的信号中检测出单频分量和正弦调频分量及其参数。将其应用于具有旋转部件目标的ISAR成像和微多普勒特征提取中,可以分离目标主体的回波分量和旋转部件回波分量,从而获得聚焦清晰的目标主体像并提取旋转部件特征。最后,仿真结果验证了该算法的有效性。

The echo signals of moving targets with rotating parts are analyzed in this paper;then according to their charac- teristics,a matching decomposition algorithm with a dictionary of two types of atoms,i.e.,single frequency signals and sine fre- quency modulation(SFM)signals,is presented,which could detect single frequency components and SFM components from sig- nals.With this algorithm,the signal returned from rotating point scarers can be separated from the signal of body.Clear image of the body can be obtained as well as features of the rotating parts.Some simulation results are presented to illustrate the effective- ness of the proposed method.

TN957.5

国家自然科学基金，陕西省自然科学基金