BDS/GPS Multi-System Positioning based on Nonlinear Filter Algorithm

BDS/GPS Multi-System Positioning based on Nonlinear Filter Algorithm

Jae Hyok Kong

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Xuchu Mao

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Shaoyuan Li

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Shanghai Jiao Tong University

BDS/GPS Multi-System Positioning based on Nonlinear Filter Algorithm

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Abstract

The Global Navigation Satellite System can provide all-day three-dimensional position and speed information. Currently, only using the single navigation system cannot satisfy the requirements of the system’s reliability and integrity. In order to improve the reliability and stability of the satellite navigation system, the positioning method by BDS and GPS navigation system is presented, the measurement model and the state model are described. Furthermore, Unscented Kalman Filter (UKF) is employed in GPS and BDS conditions, and analysis of single system/multi-systems’ positioning has been carried out respectively. The experimental results are compared with the estimation results, which are obtained by the iterative least square method and the extended Kalman filtering (EFK) method. It shows that the proposed method performed high-precise positioning. Especially when the number of satellites is not adequate enough, the proposed method can combine BDS and GPS systems to carry out a higher positioning precision.

References

12 Cites in Article

Reference Format

Steve Hewitson,Jinling Wang (2006). GNSS receiver autonomous integrity monitoring (RAIM) performance analysis.
X Mao,M Wada,H Hashimoto (2003). Nonlinear GPS models for position estimate using low-cost GPS receiver.
Simon Julier,Jeffrey Uhlmann (1997). New extension of the Kalman filter to nonlinear systems.
E Kaplan (2006). Understanding GPS Principles and Applications.
S Julier,J Uhlmann (1995). A New approach for filtering nonlinear system.
Mark Psiaki (2000). Kalman Filtering and Smoothing to Estimate Real-Valued States and Integer Constants.
S Cooper,W Durrant (1994). A Kalman filter Model for GPS navigation of Land Vehicles.
M Psiaki (2006). Batch Algorithm for Global-Positioning-System Attitude Determination and Integer Ambiguity Resolution.
L Perea,P (2008). New state update equation for the unscented Kalman filter.
A Antonio,G Salvatore,G Ciro (2013). Performance assessment of aided Global Navigation Satellite System for land navigation.
Z Wei (2008). Chinese geodetic coordinate system 2000 and its comparison with WGS84.
Jiang Liu,Mingquan Lu (2009). An Adaptive UKF Filtering Algorithm for GPS Position Estimation.

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Jae Hyok Kong. 2016. \u201cBDS/GPS Multi-System Positioning based on Nonlinear Filter Algorithm\u201d. Global Journal of Computer Science and Technology - G: Interdisciplinary GJCST-G Volume 16 (GJCST Volume 16 Issue G1): .

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GJCST Volume 16 Issue G1
Pg. 9- 15

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords

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Classification

GJCST-G Classification: G.1.5, G.1.6, G.2.1

Submission ReceivedDecember 12, 2015
Peer Review Double Blind
Handling Editor
Accepted January 4, 2016
Published January 15, 2016

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v1.2

Issue date

August 19, 2016

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Article Matrices

Total Score: 133

Country: China

Subject: Global Journal of Computer Science and Technology - G: Interdisciplinary

Authors: Jae Hyok Kong, Xuchu Mao, Shaoyuan Li (PhD/Dr. count: 0)

View Count (all-time): 239

Total Views (Real + Logic): 7482

Total Downloads (simulated): 1963

Publish Date: 2016 08, Fri

Monthly Totals (Real + Logic):

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Total Views: 7482

Total Downloads: 1963

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