基于HHT的多分量LFM信号检测与参数估计

文中将Hilbert—Huang变换应用到多分量线性调频信号（LFM）信号的分析中：首先利用经验模态分解法（EMD）将原信号分解成有限个本征模态函数（IMF）；然后埘各个IMF进行Hilbert变换，获取瞬时频率、瞬时振幅，得到信号的Hilbert谱，该谱反映r瞬时振幅在频率一时间平面上的分布，从而可以比较准确地检测和估计各LFM分量的初始频率和调频斜率等参数。仿真结果验证了该方法的有效性。

Multicomponent LFM Signal Detection and Parmeter Estimation Based on Hibert-Huang Transform

In this paper,Hilbert-Huang transform is applied to analyze multicomponent LFM signals.The complicated signal can be decomposed into several Intrinsic Mode Functions(IMF) by the empirical mode decomposition(EMD),which can make the consequent instantaneous frequency meaningful.Thus multicomponent LFM signals can be analyzed by instantaneous frequency and Hilbert spectrum.The simulation results show its effectivity.