Extraction of Shaft-Rate Electromagnetic Field of Ships Based on Adaptive Fourier Decomposition

Abstract

The shaft-rate electromagnetic field is a crucial feature of ships and undersea vehicles. However, due to the presence of static electromagnetic fields, the signal-to-noise ratio of the shaft-rate electromagnetic fields is greatly reduced. To effectively detect weak shaft-rate electromagnetic field signals under low signal-to-noise ratio conditions, this paper proposed a signal extraction method based on adaptive Fourier decomposition(AFD). It could adaptively decompose complex non-stationary signals from low frequency to high frequency into a series of single components with instantaneous frequency. Through simulation and measured data processing, the results show that this algorithm can overcome the shortcomings of methods such as short-time Fourier transform, wavelet transform, and empirical mode decomposition. It can quickly and effectively extract shaft-rate electromagnetic field signals, thereby providing a reference for positioning and tracking other ships and undersea vehicles.

Keywords

• ship
• shift-rate electromagnetic field
• adaptive fourier decomposition
• signal extraction