@ARTICLE{ iet:/content/journals/10.1049/iet-smt.2013.0202, author = {Zhang Xiaoming}, affiliation = {Key Laboratory of Instrumentation Science and Dynamic Measurement, Ministry of Education, North University of China, Taiyuan, Shanxi 030051, People's Republic of China}, author = {Chen Guobin}, affiliation = {Key Laboratory of Instrumentation Science and Dynamic Measurement, Ministry of Education, North University of China, Taiyuan, Shanxi 030051, People's Republic of China}, author = {Li Jie}, affiliation = {Science and Technology on Electronic Test and Measurement Laboratory, North University of China, Taiyuan, Shanxi 030051, People's Republic of China}, author = {Liu Jun}, affiliation = {Science and Technology on Electronic Test and Measurement Laboratory, North University of China, Taiyuan, Shanxi 030051, People's Republic of China}, keywords = {orthogonal sensor frame;four-position method;measurement system error model;triaxial MEMS vector sensor;two-step calibration algorithm;accelerometer;strapdown inertial navigation system;ellipsoid fitting method;SINS;system body frame;numerical simulation;magnetometer;triaxial MEMS vector field measurement system;mathematical analysis;}, ISSN = {1751-8822}, language = {English}, abstract = {Triaxial MEMS vector field measurement system with triaxial MEMS sensors, such as accelerometer and magnetometer, is typically used to acquire navigation information in strap-down inertial navigation system (SINS). The navigation accuracy of the body is directly affected by the measurement accuracy of the measurement system. This study presents a two-step calibration algorithm for the triaxial MEMS vector field measurement system based on a detailed analysis of the measurement system error model. In the calibration procedure of this method, the first step is to calibrate the triaxial vector sensor error, including bias, scale factors and non-orthogonality using the ellipsoid fitting method; the second step is to calibrate the misalignment between the orthogonal sensor frame and the system body frame using the four-position method. Furthermore, the mathematical analysis of four-position method calibration error is done to study on the factors influencing the misalignment calibration accuracy, numerical simulation and experiments, which are performed for validating the analysis. A series of calibration experiments on a triaxial MEMS accelerometer in the measurement system show significant enhancement of the accuracy of three components measurement data in the system body frame.}, title = {Calibration of triaxial MEMS vector field measurement system}, journal = {IET Science, Measurement & Technology}, issue = {6}, volume = {8}, year = {2014}, month = {November}, pages = {601-609(8)}, publisher ={Institution of Engineering and Technology}, copyright = {© The Institution of Engineering and Technology}, url = {https://digital-library.theiet.org/;jsessionid=3j6t02f4ms9r.x-iet-live-01content/journals/10.1049/iet-smt.2013.0202} }