Calibration of Indoor EM Location System based on Polynomial Fitting

Abstract

Electromagnetic positioning system is a system that can obtain the position and direction angle of the receiving sensor in real time by using the spatial magnetic field strength. It has been widely used in virtual reality and medical navigation applications. Due to its inherent characteristics, the accuracy and stability of electromagnetic positioning system receiving sensor is sensible to external interference, which leads to a large positioning error in its positioning and tracking data. So the calibration methods are very necessary, in which polynomial fitting is often used to reduce the electromagnetic positioning error. Traditional polynomial fitting may usually bring some errors but in this paper a improved polynomial fitting is proposed which segments and fits those error according to the trend of sampling point. Simulations show that the segmentation fit calibration is better than the traditional polynomial fit.