基于希尔伯特黄变换的雷达信号滤波

Filtering of Radar Signal Based on Hilbert Huang Transform

摘要: 探索基于希尔伯特黄变换(HHT)算法的雷达信号滤波方法。通过对雷达信号进行了经验模态分解(EMD)得到其本征模态函数(IMF)分量，并对其进行时频分析，得到分量的频谱以及信号Hilbert谱；根据其时频特征分布规律，并估算滤波信号信噪比及信号分量所含回波信号能量，确定用于重构滤波信号的分量，仿真处理后的滤波信号与雷达实测信号对比检验滤波效果。结果表明，基于HHT的滤波算法对雷达信号的滤波有着良好的效果。

Abstract: A method of radar signal filtering based on Hilbert Huang transform (HHT) is explored. Through handling the radar signal by empirical mode decomposition (EMD), the intrinsic mode function (IMF) components are obtained, and the spectrum and Hilbert spectrum of the IMF component are obtained by frequency analysis. According to the distribution law of time-frequency characteristics, the signal-to-noise ratio of the filtered signal and the echo signal energy contained in the signal component are estimated to determine the component used to reconstruct the filtered signal. The filtering effect is tested by comparing the simulated filtered signal with the measured radar signal. The results show that the filtering algorithm based on HHT has a good effect on the filtering of radar signal.