Magnetometer Error Compensation Algorithm Based on Improved Particle Swarm Optimization Algorithm

In order to effectively aid inertial navigation, the geomagnetic navigation requires precise prior geomagnetic information. As the core sensor of geomagnetic navigation, three-axis magnetometer has the problem of low error accuracy. In order to improve the adaptability of the inertia weight, this paper proposes improved particle swarm optimizations (APSO) to realize the estimation of the parameters of the magnetometer. Firstly, based on instrument error of magnetometer and magnetic field error of carrier interference, the error model of three-axis magnetometer is constructed; then APSO is proposed to fit the error model parameters. The experiment results show that APSO has a more accurate value and effectively reduces the measurement error of the magnetometer.