INS algorithm using quaternion model for low cost IMU

Publication Type:
Journal Article
Citation:
Robotics and Autonomous Systems, 2004, 46 (4), pp. 221 - 246
Issue Date:
2004-04-30
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This paper presents a generic inertial navigation system (INS) error propagation model that does not rely on small misalignment angles assumption. The modelling uses quaternions in the computer frame approach. Based on this model, an INS algorithm is developed for low cost inertial measurement unit (IMU) to solve the initial attitudes uncertainty using in-motion alignment. The distribution approximation filter (DAF) is used to implement the non-linear data fusion algorithm. © 2004 Elsevier B.V. All rights reserved.
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