Error calibration of three axis magnetometer based on Global Artificial Fish Swarm Algorithm
IEEE TENCON 2013——The Global Artificial Fish Swarm Algorithm (GAFSA) is proposed to calibrate the three-axis magnetometer, taking account of both internal sensor errors and external magnetic field interferences in this paper. A series of simulations and field experiments have been done and the results demonstrate that GAFSA-based calibration method can significantly improve the measurement accuracy of three-axis magnetometer. It also has better robustness and needs less priori knowledge compared to the Particle Swarm Optimization algorithm (PSO) and Nonlinear Least Squares method (NLS).
关键词： 三轴磁力计 粒子群优化算法 非线性最小二乘法 人工鱼群算法 IEEE TENCON 2013
主讲人：Gong Xiaowen 机构：College of Information Engineering & Automation Xi’an University of Technology
时长：0:14:38 年代：2013年
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