摘要
该文测试了光纤陀螺在振动环境下的输出信号,为了降低信号中的振动噪声,分别对光纤陀螺在振动环境下和非振动环境下的输出信号进行经验模态分解(EMD),得到振动环境下输出信号的内涵模态分量(IMF)与非振动环境下输出信号的IMF。针对IMF中振动噪声分量鉴别问题,提出了一种基于功率谱密度筛选IMF振动噪声分量的方法,有效剔除了信号中的振动噪声。并将该方法与阈值降噪和小波降噪方法进行对比,结果表明该方法具有更好的降噪效果。
In this paper,the output signal of fiber optic gyroscope(FOG)in vibration environment is tested.In order to reduce the vibration noise in the signal,the output signals of FOG in vibration environment and non-vibration environment are decomposed by empirical mode decomposition(EMD)respectively,and the intrinsic mode functions(IMF)of output signal in vibration environment and non-vibration environment are obtained.Aiming at the identification of vibration noise components in IMF,a method for screening the vibration noise components of IMF based on power spectral density is proposed,which can effectively eliminate the vibration noise in the signal.This method is compared with threshold noise reduction and wavelet noise reduction,and the results show that this method has better noise reduction effect.
作者
马晋美
MA Jin-mei(School of Aviation Engineering,Air Force Engineering University,Xi'an 710038,China)
出处
《自动化与仪表》
2022年第12期75-78,102,共5页
Automation & Instrumentation
关键词
光纤陀螺
经验模态分解
功率谱密度
fiber optic gyroscope(FOG)
empirical mode decomposition(EMD)
power spectral density
