Blind separation of penetration overload signals based on VMD

Penetration overload signal contains complex signal components, and the traditional signal processing methods can't effectively extract penetration overload features of a projectile. Here, a feature separation method of penetration overload signal was proposed to combine variational modal decomposition (SVD) with blind source separation. Firstly, a source signal was decomposed into a series of intrinsic mode functions (IMFs) with variational modal decomposition (VMD). Then, IMFs and source signals were used to form a multi-dimensional observation signal, its autocorrelation matrix's singular value decomposition (SVD) was performed to estimate the number of source signals, and correlation coefficients between IMFs and source signals were calculated, respectively. According to the number of source signals and correlation coefficients, the corresponding IMFs and source signals were selected to reconstruct a multi-channel observation signal. Finally, the characteristic matrix joint approximate diagonalization method was used to do blind source separation of the multi-channel observation signal. It was shown that compared with the traditional signal processing method, the proposed method can effectively splinter the penetration overload signal, and its integration results can better reflect the actual penetration depth of the projectile to provide a basis for structural design of detonator systems. © 2022, Editorial Office of Journal of Vibration and Shock. All right reserved.