遥测振动信号单通道盲源分离自适应滤波幅度校正方法

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摘要针对基于经验模态分解（empirical mode decomposition, EMD）和独立分量分析（Independent Component Analysis, ICA）的单通道盲源分离幅度不确定性问题，根据最小失真准则提出了一种自适应滤波幅度校正方法。利用EMD将单通道信号分解为一系列本征模态函数（Intrinsic Mode Function, IMF），依据对数坐标下的边际谱分布确定单通道信号包含的独立分量数目。选择对应的IMF组合作为观测信号分量，利用ICA完成分离。根据分离信号数目确定横向滤波器阶数，并将分离信号作为滤波器的输入信号分量。利用滤波器输出和原始单通道信号设计目标函数，自适应调整滤波器系数使算法完成收敛，算法收敛后的滤波器权系数即为对应分离信号的幅度校正系数。仿真及飞行器试验遥测振动信号的处理结果证明在EMD-ICA基础上，该方法可准确得到信号各分量的幅度信息，为遥测振动信号进行时域统计及时频分析中能量检测提供了有效技术途径。

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	肖瑛1
	马艺伟1
	刘学2

关键词 ：飞行器试验, 振动信号, 经验模态分解, 盲源分离, 自适应滤波

Abstract：To solve the amplitude uncertainty problem of single channel blind source separation based on empirical mode decomposition (EMD) and independent component analysis (ICA), an adaptive filtering amplitude correction method was proposed. The single channel signal is decomposed into a series of intrinsic mode function (IMF) by EMD, and the number of independent components contained in the single channel signal is determined according to the marginal spectrum distribution in logarithmic coordinate. The corresponding IMF is selected as the observed signal component and blind source separation can be implemented by ICA. The order of the transversal filter is determined according to the number of separated signals, and the separated signal is used as the input signal component of the filter. The objective function of adaptive filtering is designed with the filter output and the original single channel signal, and the filter weights are adaptively adjusted to obtain convergence. The filter weights after the algorithm convergence are the amplitude correction coefficients of the corresponding separated signal components. The results of simulation and flight vehicle test telemetry vibration signal process show that the proposed method can obtain the accurate energy information of each component of the signal, which provides an effective technical way for energy detection in time-domain statistics and time-frequency analysis of telemetry vibration signals.

Key words： flight vehicle test vibration signal empirical mode decomposition (EMD) blind source separation adaptive filtering

收稿日期: 2020-08-07 出版日期: 2021-12-15

引用本文:

肖瑛1，马艺伟1，刘学2. 遥测振动信号单通道盲源分离自适应滤波幅度校正方法[J]. 振动与冲击, 2021, 40(23): 127-133.
XIAO Ying1, MA Yiwei 1, LIU Xue2. Single channel blind source separation adaptive filtering amplitude correction method for telemetry vibration signals. JOURNAL OF VIBRATION AND SHOCK, 2021, 40(23): 127-133.

链接本文:

http://jvs.sjtu.edu.cn/CN/ 或 http://jvs.sjtu.edu.cn/CN/Y2021/V40/I23/127

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