Volume 5, Issue 2, June 2020, Page: 61-73
Identification and Exclusion Multiple Outliers in GNC Microsystem
Fanchen Meng, Beijing Institute of Aerospace Control Devices (BIACD), Beijing, China
Chaoyang Xing, Beijing Institute of Aerospace Control Devices (BIACD), Beijing, China
Peng Sun, Beijing Institute of Aerospace Control Devices (BIACD), Beijing, China
Zhengqiang Zhu, Beijing Institute of Aerospace Control Devices (BIACD), Beijing, China
Nannan Li, Beijing Institute of Aerospace Control Devices (BIACD), Beijing, China
Received: Mar. 11, 2020;       Accepted: Apr. 1, 2020;       Published: Apr. 14, 2020
DOI: 10.11648/j.ajset.20200502.12      View  468      Downloads  112
Monitoring the positioning reliability is of great importance for modern Global Navigation Satellite System (GNSS), especially for receivers which are on duty in multi-constellation Guidance Navigation and Control (GNC). Integrity and relevant techniques are gaining popularity among which many researches focus on receiver autonomous integrity monitoring (RAIM) referring to independent integrity without any external assistance. Therefore, the performances of RAIM have to be lucubrated in order to assure the positioning quality. An innovative method has been proposed for failure identification and exclusion in GNSS among GNC microsystem. This method is established on the evaluation of subsets precheck and residual vector adjustment to conduct RAIM. It is applicable to multi-constellation receivers carrying on FDE. Concerning on abundant visible satellites, we consider Geometric Dilution Precision (GDOP) for optimized satellite spatial geometry and manage to avoid matrix inverse operation by Newton efficient equivalence solution, which saves large quantity computational complexity in GNC microsystem. The main purpose is to improve the ability of GNSS receiver accuracy, availability, continuity and integrity. The multiple outlier hypothesis has also been evaluated to ensure the integrity by the statistical global and local tests of least squares residual. Simulation consequences imply that we are able to obtain fairly good behaviors when processing single and two outliers.
To cite this article
Fanchen Meng, Chaoyang Xing, Peng Sun, Zhengqiang Zhu, Nannan Li, Identification and Exclusion Multiple Outliers in GNC Microsystem, American Journal of Science, Engineering and Technology. Vol. 5, No. 2, 2020, pp. 61-73. doi: 10.11648/j.ajset.20200502.12
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This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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