DocumentCode
2302110
Title
Evaluation of high performance and compensation method for low cost micro electro-mechanical system based inertial measurement unit
Author
Lei Wang ; Yongping Hao ; Huimin Qiao ; Fei Wang
Author_Institution
Res. Center of Weaponry Sci. & Technol., Shenyang Ligong Univ., Shenyang, China
fYear
2012
fDate
29-31 Dec. 2012
Firstpage
1199
Lastpage
1203
Abstract
Given the burgeoning demand for a small, lightweight, low cost and high performance inertial Measurement Units(IMU), high fidelity test, compensation methods are necessary to evaluate and provide the corrections to the performance of Micro-Electro-Mechanical Systems(MEMS) sensors and standalone IMU. An effective calibration method combining with Kalman filter is implemented to evaluate the significant error sources of IMU. The deterministic and stochastic errors are estimated in virtue of static tests, rate tests, and thermal tests. Corresponding description of the integrated GPS/MEMS-IMU system, which fuse the fusion the information from an inexpensive IMU and a GPS receiver, is presented along with navigation experimental results compared with navigation grade IMU reference. Real data test is performed to validate and evaluate the proposed approach.
Keywords
Global Positioning System; Kalman filters; accelerometers; calibration; gyroscopes; inertial navigation; measurement errors; microsensors; GPS receiver; Kalman filter; MEMS sensors; calibration method; compensation methods; deterministic errors; error sources; high fidelity test; inertial measurement unit; integrated GPS/MEMS-IMU system; low cost microelectro-mechanical system; navigation grade IMU reference; rate tests; standalone IMU; static tests; stochastic errors; thermal tests; GPS; IMU; Integrated Navigation System; Kalman Filter; MEMS;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Science and Network Technology (ICCSNT), 2012 2nd International Conference on
Conference_Location
Changchun
Print_ISBN
978-1-4673-2963-7
Type
conf
DOI
10.1109/ICCSNT.2012.6526139
Filename
6526139
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