MATEC Web Conf.
Volume 114, 20172017 International Conference on Mechanical, Material and Aerospace Engineering (2MAE 2017)
|Number of page(s)||6|
|Section||Chapter 4: Interdisciplinary|
|Published online||10 July 2017|
An Improved INS Factor Graph Formulation and Its Application in Integrated Navigation System
Department of Control Engineer, Academy of Armored Force Engineering, Beijing, China
a Corresponding author: firstname.lastname@example.org
A new method of establishing INS factor graph is proposed to deal with the serious waste of INS measurements in current integrated navigation factor graph algorithm. The INS observations pre-integrated to construct a smart factor during a time period, are used to solution simultaneously, to get the navigation states estimation. Then the estimated values can be used to construct an INS factor, adding into the INS factor graph. As a result, the new model is larger than the original, but the incremental inference technology makes sure the real-time ability of the factor graph algorithm. To analysis the performance of the proposed algorithm, INS and GNSS data are simulated, and the navigation position error of either the INS factors are added or not are compared. The results show that, the precision and stability of the factor graph algorithm are greatly improved by adding the INS factors. The proposed algorithm makes full use of the INS accuracy, and reflects the advantage of INS high stability.
© The Authors, published by EDP Sciences, 2017
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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