Line-Spectrum Extraction of Ship Electric Field Based on SVMD-AAMPSR

Due to strong noises from the marine environment and measurement devices, the vessel’s electric field signature would become weak, posing a detection challenge. To accurately extract the characteristics of the vessel’s electric field signature, this paper proposed a line-spectrum extraction method combining successive variational mode decomposition (SVMD) with adaptative asymmetric mixed potential stochastic resonance (AAMPSR) based on the equilibrium optimizer (EO) algorithm. The SVMD decomposed the original signal into multiple components, and then AAMPSR was utilized to absorb the noise energy in order to enhance the information signal. The EO algorithm was employed to optimize the potential function parameter settings, resulting in an improvement in the signal-to-noise ratio (SNR). Numerical and physical scale experiments were conducted to validate the feasibility of the proposed method. The results verify that the proposed method is effective in extracting the shaft rate frequency of the ship electric field signal and has much superiority over traditional methods in processing weak signals, thereby offering valuable applications in engineering.