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作 者:曾科军[1] 张慧娟[1] 赵书圆 Zeng Kejun;Zhang Huijuan;Zhao Shuyuan(No.91550 Unit of PLA,Dalian 116023,China)
机构地区:[1]中国人民解放军91550部队,辽宁大连116023
出 处:《兵工自动化》2024年第6期15-20,共6页Ordnance Industry Automation
摘 要: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。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.
分 类 号:TN911.7[电子电信—通信与信息系统]
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