...TianYi Liu; GuangDa Li; Xun Wang Purpose This study aims to develop an accurate and robust calibration method for triaxial magnetometers by introducing a reinforcement learning-driven adaptive particle swarm optimization ( RLAPSO ) framework. Design/methodology/approach A RLAPSO algorithm...

... and does not require additional heading reference. In addition, the method is insensitive to noise and initialization conditions, has good robustness and can converge to a global optimum. Particle swarm optimization Error calibration Three-axis magnetic sensor Two-stage calibration method...

...Xiaobin Xu; Minzhou Luo; Zhiying Tan; Min Zhang; Hao Yang Purpose This paper aims to investigate the effect of unknown noise parameters of Kalman filter on velocity and displacement and to enhance the measured accuracy using adaptive Kalman filter with particle swarm optimization algorithm...

... consumption of energy. Perhaps sensor nodes might be supplied with batteries that cannot be recharged or replaced while in the field of operation. One optimistic approach to handle the issue of energy consumption is an efficient way of cluster organization using the particle swarm optimization (PSO) technique...