BDS/GPS Dual Systems Positioning Based on the Modified SR-UKF Algorithm

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 satellit...

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Main Authors: JaeHyok Kong, Xuchu Mao, Shaoyuan Li
Format: Article
Language:English
Published: MDPI AG 2016-05-01
Series:Sensors
Subjects:
Online Access:http://www.mdpi.com/1424-8220/16/5/635
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author JaeHyok Kong
Xuchu Mao
Shaoyuan Li
author_facet JaeHyok Kong
Xuchu Mao
Shaoyuan Li
author_sort JaeHyok Kong
collection DOAJ
description 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, the modified square-root Unscented Kalman Filter (SR-UKF) algorithm is employed in BDS and GPS conditions, and analysis of single system/multi-system positioning has been carried out, respectively. The experimental results are compared with the traditional estimation results, which show that the proposed method can perform highly-precise positioning. Especially when the number of satellites is not adequate enough, the proposed method combine BDS and GPS systems to achieve a higher positioning precision.
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spelling doaj.art-0a3c875d8657468a9499eb57d01ba21e2022-12-22T04:01:23ZengMDPI AGSensors1424-82202016-05-0116563510.3390/s16050635s16050635BDS/GPS Dual Systems Positioning Based on the Modified SR-UKF AlgorithmJaeHyok Kong0Xuchu Mao1Shaoyuan Li2School of Electronic Information and Electric Engineering, Shanghai JiaoTong University, 800 Dongchuan Street, Minhang District, Shanghai 200240, ChinaSchool of Electronic Information and Electric Engineering, Shanghai JiaoTong University, 800 Dongchuan Street, Minhang District, Shanghai 200240, ChinaSchool of Electronic Information and Electric Engineering, Shanghai JiaoTong University, 800 Dongchuan Street, Minhang District, Shanghai 200240, ChinaThe 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, the modified square-root Unscented Kalman Filter (SR-UKF) algorithm is employed in BDS and GPS conditions, and analysis of single system/multi-system positioning has been carried out, respectively. The experimental results are compared with the traditional estimation results, which show that the proposed method can perform highly-precise positioning. Especially when the number of satellites is not adequate enough, the proposed method combine BDS and GPS systems to achieve a higher positioning precision.http://www.mdpi.com/1424-8220/16/5/635Global Navigation Satellite System (GNSS)positioning algorithmmodified square-root Unscented Kalman filter (modified SR-UKF)BeiDou navigation System (BDS)
spellingShingle JaeHyok Kong
Xuchu Mao
Shaoyuan Li
BDS/GPS Dual Systems Positioning Based on the Modified SR-UKF Algorithm
Sensors
Global Navigation Satellite System (GNSS)
positioning algorithm
modified square-root Unscented Kalman filter (modified SR-UKF)
BeiDou navigation System (BDS)
title BDS/GPS Dual Systems Positioning Based on the Modified SR-UKF Algorithm
title_full BDS/GPS Dual Systems Positioning Based on the Modified SR-UKF Algorithm
title_fullStr BDS/GPS Dual Systems Positioning Based on the Modified SR-UKF Algorithm
title_full_unstemmed BDS/GPS Dual Systems Positioning Based on the Modified SR-UKF Algorithm
title_short BDS/GPS Dual Systems Positioning Based on the Modified SR-UKF Algorithm
title_sort bds gps dual systems positioning based on the modified sr ukf algorithm
topic Global Navigation Satellite System (GNSS)
positioning algorithm
modified square-root Unscented Kalman filter (modified SR-UKF)
BeiDou navigation System (BDS)
url http://www.mdpi.com/1424-8220/16/5/635
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