A Novel Compensation Method for Optical Pump Magnetometer Based on Particle Swarm Optimization

Accurate magnetic field measurement is of great significance to the magnetic target detection. However, carriers equipped with magnetometer often generate a portion of magnetic field, which can interfere with the recognition of abnormal magnetic signals. In this paper, we built a new compensation method based on particle swarm optimization algorithm to improve the measurement accuracy of magnetic field. Firstly, the directional cosine of the included angle between the total geomagnetic field and the three axes of the fluxgate magnetometer is calculated through the calibration results of the fluxgate magnetometer. Combined with the directional cosine, the total magnetic field measured through the optical pump magnetometer was decomposed into component magnetic field containing the interference magnetic field. After that, we deduced the novel compensation model for the optical pump magnetometer according to the relationship between the decomposed magnetic field and the geomagnetic field reference value at the experiment site. Finally, the particle swarm algorithm is introduced to achieve the estimation of the compensation parameters for the experimental data collected in the field. The field experiment results verified that the established compensation method can obtain good compensation effect and has certain engineering application value.