侵彻过载信号包含复杂的信号分量，传统的信号处理方法无法有效提取弹体的侵彻过载特征。提出一种将变分模态分解与盲源分离相结合的侵彻过载信号特征分离方法，首先由变分模态分解将源信号分解成一系列本征模态函数；然后将本征模态函数与源信号组成多维观测信号，对其自相关矩阵进行奇异值分解估计源信号数目，并计算各本征模态函数与源信号的相关系数，根据源信号数目和相关系数，选择相应的本征模态函数与源信号重构多通道观测信号；最后采用特征矩阵联合近似对角化法对多通道观测信号进行盲源分离。与传统信号处理方法相比，该方法能够有效分离出侵彻过载信号，积分结果较好地反映了弹体的实际侵彻深度，为引信系统的结构设计提供依据。
Abstract
The penetration overload signal contains complex signal components. The traditional signal processing methods can not extract the penetration overload characteristics effectively. A feature separation method of penetration overload signal based on variational mode decomposition (VMD) and blind source separation is proposed. First, the source signal is decomposed into a series of intrinsic mode functions using VMD. Then, the multi-dimensional observation signal is composed of the intrinsic mode function and the source signal. The number of source signals is estimated by singular value decomposition of the autocorrelation matrix. The correlation coefficients of each eigenmode function and the source signal are calculated, according to the number and correlation coefficient of source signals. The corresponding eigen mode function and source signal are selected to reconstruct the multi-channel observation signals. Finally, the joint approximate diagonalization of eigenmatrix is used to separate the multi-channel signals. Compared with traditional signal processing method, this method can effectively separate the penetration overload signal, the integral results can better reflect the actual penetration depth of projectile, which provides the basis for the structural design of fuze systems.
关键词
侵彻过载信号 /
变分模态分解 /
盲源分离 /
奇异值分解 /
重构信号
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Key words
penetration overload signal /
variational mode decomposition /
blind source separation /
singular value decomposition /
reconstruction signal
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