Magnetic anomaly signal detection algorithm based on OBF decomposition

The magnetic field information of ship target is an important signal source of non acoustic detection equipment. Target magnetic signal detection, analysis and extraction of magnetic signal characteristics have important theoretical significance for improving the performance of detection equipment. Based on the magnetic dipole model and the principle of fluxgate vector sensor, this paper deduces the signal model and orthogonal basis function of the target magnetic passing, and studies the corresponding orthogonal basis function decomposition algorithm to detect the magnetic anomaly passing signal. The results of simulation analysis and measured data show that the improved algorithm can reduce the false alarm probability, and to a certain extent, it can effectively detect the magnetic anomaly through the signal under non white noise.