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.
Key words
penetration overload signal /
variational mode decomposition /
blind source separation /
singular value decomposition /
reconstruction signal
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