NDLI: BDS/GPS INTEGRATED POSITIONING METHOD RESEARCH BASED ON NONLINEAR KALMAN FILTERING

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BDS/GPS INTEGRATED POSITIONING METHOD RESEARCH BASED ON NONLINEAR KALMAN FILTERING

Content Provider	Scilit
Author	Ma, Y. Yuan, W. Sun, H.
Copyright Year	2017
Description	In order to realize fast and accurate BDS/GPS integrated positioning, it is necessary to overcome the adverse effects of signal attenuation, multipath effect and echo interference to ensure the result of continuous and accurate navigation and positioning. In this paper, pseudo-range positioning is used as the mathematical model. In the stage of data preprocessing, using precise and smooth carrier phase measurement value to promote the rough pseudo-range measurement value without ambiguity. At last, the Extended Kalman Filter(EKF), the Unscented Kalman Filter(UKF) and the Particle Filter(PF) algorithm are applied in the integrated positioning method for higher positioning accuracy. The experimental results show that the positioning accuracy of PF is the highest, and UKF is better than EKF.
Ending Page	535
Page Count	5
Starting Page	531
e-ISSN	21949034
DOI	10.5194/isprs-archives-xlii-2-w7-531-2017
Journal	The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Volume Number	XLII-2/W7
Language	English
Publisher	Copernicus GmbH
Publisher Date	2017-09-12
Access Restriction	Open
Subject Keyword	Cybernetical Science Kalman Filter Bds/gps Integrated Positioning Method
Content Type	Text
Resource Type	Article

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