Adaptive coherent noise suppression for three-axis fluxgate sensor

The variation of geomagnetic field greatly increases the difficulty of magnetic anomaly detection. This paper propose an improved adaptive coherent noise suppression(ACNS) method, which provides an effective denoising method for magnetic anomaly detection. Firstly, the signal of three-axis fluxgate sensor and their total magnetic field signal are denoised by the ACNS method, secondly, the four groups of signal above are summed by the adaptive weighted summation method, and then we use OBF algorithm to get the energy of the signal, achieve the goal of magnetic anomaly detection. Finally, the experimental results show that the improved method in this paper has better denoising effect than the original method, and the magnetic anomaly can be detected better by OBF algorithm after using the improved ACNS algorithm.