结合EEMD 的噪声对消方法在遥测振动信号降噪中的应用

针对传统降噪方法难以兼顾飞行器遥测振动信号中细节信息损失和降噪性能之间的矛盾，提出一种集合 经验模态分解(ensemble empirical mode decomposition，EEMD)和噪声对消相结合的降噪方法。信号经EEMD 处理得 到本征模态函数(intrinsic mode function，IMF)，将第1 阶IMF 分量和其余IMF 分量的累加和分别作为参考噪声和 待降噪信号；利用核方法将信号映射到高维特征空间，利用映射到高维空间中的参考噪声和待降噪信号进行噪声对 消。计算机仿真结果表明：该方法在避免信号细节信息损失的前提下具有良好的降噪性能，某次飞行器试验中实测 数据处理结果证明方法有效和实用。

Application of Noise Cancellation Method Combined with EEMD in Noise Reduction of Telemetry Vibration Signal

Aiming at the contradiction between detail information loss and noise reduction performance in aircraft telemetry vibration signal, a noise reduction method based on ensemble empirical mode decomposition (EEMD) and noise cancellation is proposed. The signal is processed by EEMD to obtain an intrinsic mode function (IMF), and the sum of the first order IMF component and the accumulated sum of other IMF components are respectively used as the reference noise and the signal to be denoised; The signal is mapped to a high-dimensional feature space by using a kernel method, and the reference noise and the signal to be denoised which are mapped to the high-dimensional feature space are used for noise cancellation. The computer simulation results show that the method has good noise reduction performance on the premise of avoiding the loss of signal detail information, and the processing results of the measured data in an aircraft test prove the effectiveness and practicability of the method.