Filtering Analysis of Navigation Data Processing for Personnel Positioning System
Science Journal of Applied Mathematics and Statistics
Volume 4, Issue 3, June 2016, Pages: 97-100
Received: Apr. 18, 2016;
Accepted: Apr. 28, 2016;
Published: May 13, 2016
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Lianhong Ding, School of Information, Beijing Wuzi University, Beijing, China
Hongqing Sang, School of Logistics Engineering, School of Information, Beijing Wuzi University, Beijing, China
Juntao Li, School of Information, Beijing Wuzi University, Beijing, China
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Ultra wideband technology is a more precise indoor positioning technology. But the UWB positioning output would be unstable if the signal from base station were blocked. The low cost inertial positioning is a method to make up a method for indoor navigation. However, the positioning error will accumulate quickly due to the low cost inertial measurement error. To solve this problem, we selected the MPU6050 module as a chip and Simulated test with Extended Kalman Filter and Unscented Kalman Filter algorithms, and carried out the error analysis on both of them. Finally, come to sampling Kalman filter estimation accuracy estimation is more accurate, more suitable for MPU6050 positioning algorithm.
Indoor Positioning, Location Algorithm, Combined Positioning, Extended Calman Filter
To cite this article
Filtering Analysis of Navigation Data Processing for Personnel Positioning System, Science Journal of Applied Mathematics and Statistics.
Vol. 4, No. 3,
2016, pp. 97-100.
Copyright © 2016 Authors retain the copyright of this article.
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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