NDLI: Adaptive Kalman Filtering Method to the Data Processing of GPS Deformation Monitoring

Content Provider	IEEE Xplore Digital Library
Author	Zhang Wei Fan Dongli Yang Jinzhong
Copyright Year	2010
Abstract	This paper introduced the principle of Kalman filtering and modeling methods, however, there existed some problems with the standard Kalman filtering. Combined with the characteristics of GPS deformation monitoring data, this paper improved the algorithm of the standard Kalman filtering and proposed the Adaptive Kalman filtering method. The authors took the data of GPS deformation monitoring as an example, carried out AKF method in the VB platform, and compared the treatment results with the original data. The results show that the AKF can effectively suppress the phenomenon of divergence emerged filtering with the systematic statistical properties of real-time dynamic estimation and make the results more stable and reasonable. The results show that the Adaptive Kalman Filter proposed in this paper is more effective than the traditional methods.
Starting Page	288
Ending Page	292
File Size	408747
Page Count	5
File Format	PDF
ISBN	9781424476213
e-ISBN	9781424476220
DOI	10.1109/IFITA.2010.18
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-07-16
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	modeling Noise Covariance matrix GPS Kalman filters Mathematical model deformation monitoring Monitoring Global Positioning System algorithm Adaptive Kalman Filter
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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