一种基于经验模态分解的锥体目标雷达微动特征提取新方法

摘要

This paper studies on the cone target. Firstly, the modulating function of a precession target on the radar is analyzed. Then, the decomposition method of multi-component sinusoidal frequency modulated signal based on empirical mode decomposition (EMD) is studied. The instantaneous frequency of each intrinsic mode function is gained by using Short Time Fourier Transform (STFT). The precession features of precession period, precession angle, micro-motion range ratio of different scatters and geometry feature of aspect ratio are extracted. Finally, the results of feature extraction by utilizing the darkroom measurement are shown in figures, which validate the ideas.%本文以锥体目标为对象,分析了目标进动对雷达回波的调制作用,研究了基于经验模态分解算法的多分量正弦调频信号分离方法,使用短时傅里叶变换得到了每个本征模态函数的瞬时频率,提取了进动周期、进动角、不同散射点间的微动幅度比值等微动特征及目标纵横比,并用暗室测量数据进行了验证,证明了本文的观点和特征提取方法的有效性.