High-Precision BDS Augmented Positioning Method for Disaster Emergency Environment on Smart Device

ZHU Huizhong; LI Jun; XU Aigong; ZHEN Jie; LEI Xiaoting

doi:10.13203/j.whugis20200123

Volume 45 Issue 8

Aug. 2020

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Geomatics and Information Science of Wuhan University > 2020 > 45(8): 1155-1167. > DOI: 10.13203/j.whugis20200123

ZHU Huizhong, LI Jun, XU Aigong, ZHEN Jie, LEI Xiaoting. High-Precision BDS Augmented Positioning Method for Disaster Emergency Environment on Smart Device[J]. Geomatics and Information Science of Wuhan University, 2020, 45(8): 1155-1167. DOI: 10.13203/j.whugis20200123

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High-Precision BDS Augmented Positioning Method for Disaster Emergency Environment on Smart Device

1.
School of Geomatics, Liaoning Technical University, Fuxin 123000, China
2.
Chinese Academy of Surveying and Mapping, Beijing 100830, China

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The National Key Research and Development Program of China 2016YFC0803102

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Author Bio:
ZHU Huizhong, PhD, associate professor, specializes in BDS high-precision positioning.zhuhuizhong@whu.edu.cn
Received Date: January 28, 2020
Published Date: August 04, 2020

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Abstract

Abstract

Objective The uncertainty of influencing factors of BDS positioning is great in the disaster environment and emergency scene. The applicability and maneuverability of receiver in disaster emergency environment may not meet the needs of positioning. Therefore, the method of augmented positioning between long range stations on smart device was researched to meet the demand high-precision positioning in disaster emergency environment. The augmented positioning algorithm is convenient for high efficiency and easy to realize, and the user can use a very flexible data processing method.
Methods The un-difference error corrections between long-range reference stations was used of augmented positioning. The satellite clock error was eliminated and the atmospheric error and satellite orbit error can be weakened by the un-difference error corrections. The augmented positioning of user including pseudo-range, carrier phase and carrier phase smoothing pseudo-range between long range stations were achieved. And the demand of high-precision positioning of long range was meted by corrections of classified errors. The method of carrier phase smoothing pseudo-range by un-difference error corrections was used. The integer ambiguity was estimated by observations with eliminating errors and the pseudo-range was recalculated by the simple smoothing formula. The user station errors were removed or corrected by the reference station smoothing error corrections.The pseudo-range observations do not involve ambiguity with simple positioning mode and high- real-time performance, at the same time the accuracy of pseudo-range positioning can be improved by carrier phase observations. And this method can be better applied to the demand for high-precision positioning in disaster environment. The augmented positioning for specific receiver equipment was also integrated in the smart device.
Results Three reference stations between long range together with smart device and receiver in North China were used to test the augmented positioning. The positioning accuracy of dm or cm can be obtained by augmented positioning with pseudo-range and carrier phase smoothing of receiver, the accuracy on cm level obtained with carrier phase. The smart device can get the position on dm level of horizontal with carrier phase smoothing augmented positioning, and the augmented positioning with carrier phase was able to achieve the accuracy on cm level by fixed ambiguity or float ambiguity. The kinematic augmented positioning of smart device can get the positioning accuracy better than 1 meter with the test at Liaoning.
Conclusions The smart device can be used as the source of observation and the carrier of data processing for user receiver positioning. The results indicate that the method can achieve high-precision positioning with real-time dynamic centimetre, decimetre and sub-meter levels better than 1 meter.
- disaster emergency environment,
- smart device,
- augmented positioning,
- BDS,
- carrier phase observations

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[1]	高星伟, 陈锐志, 赵春梅.网络RTK算法研究与实验[J].武汉大学学报·信息科学版, 2009, 34(11):1 350-1 353 http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=whchkjdxxb200911022 Gao Xingwei, Chen Ruizhi, Zhao Chunmei.A Network RTK Algorithm and Its Test[J].Geomatics and Information Science of Wuhan University, 2009, 34(11):1 350-1 353 http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=whchkjdxxb200911022
[2]	祝会忠.基于非差误差改正数的长距离单历元GNSS网络RTK算法研究[D].武汉: 武汉大学, 2012 Zhu Huizhong.The Study of GNSS Network RTK Algorithm Between Long Range at Single Epoch- Using Un-difference Error Corrections[D].Wuhan: Wuhan University, 2012
[3]	Zou Xuan, Ge Maorong, Tang Weiming, et al.URTK: Undifferenced Network RTK Positioning[J].GPS Solution, 2013, 17:283-293 https://www.researchgate.net/publication/257493162_URTK_undifferenced_network_RTK_positioning
[4]	Ge M, Zou X, Dick G, et al.An Alternative Network RTK Approach Based on Undifferenced Observation Corrections[C]. ION GNSS, Protland, Oregon, 2010
[5]	祝会忠, 刘经南, 唐卫明, 等.长距离网络RTK基准站间整周模糊度单历元确定方法[J].测绘学报, 2012, 41(3):359-365 http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=chxb201203009 Zhu Huizhong, Liu Jingnan, Tang Weiming, et al.The Algorithm of Single-Epoch Integer Ambiguity Resolution Between Long-Range Network RTK Base Stations [J].Acta Geodaetica et Cartographica Sinica, 2012, 41(3):359-365 http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=chxb201203009
[6]	姚宜斌, 胡明贤, 许超钤.基于DREAMNET的GPS/BDS /GLONASS多系统网络RTK定位性能分析[J].测绘学报, 2016, 45(9):1 009-1 018 Yao Yibin, Hu Mingxian, Xu Chaoqian.Positioning Accuracy Analysis of GPS/BDS/GLONASS Network RTK Based on DREAMNET[J].Acta Geodaetica et Cartographica Sinica, 2016, 45(9):1 009-1 018
[7]	祝会忠, 徐爱功, 高猛, 等.BDS网络RTK中距离参考站整周模糊度单历元解算方法[J].测绘学报, 2016, 45(1):50-57 http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=chxb201601008 Zhu Huizhong, Xu Aigong, Gao Meng, et al.The Algorithm of Single-Epoch Integer Ambiguity Resolution Between Middle-Range BDS Network RTK Reference Stations[J].Acta Geodaetica et Cartographica Sinica, 2016, 45(1):50-57 http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=chxb201601008
[8]	祝会忠, 李博, 徐爱功.长距离单历元单频非差北斗网络差分方法[J].测绘科学, 2016, 41(5):14-20 http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=chkx201605004 Zhu Huizhong, Li Bo, Xu Aigong.Differential Method of Long-Range Single Epoch Single-Frequency Non-difference BeiDou Network[J].Science of Surveying and Mapping, 2016, 41(5):14-20 http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=chkx201605004
[9]	赵硕, 秘金钟, 徐彦田.双频智能手机GNSS数据质量及定位精度分析[J].测绘科学, 2019, 44(8):1-10 http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=chkx202002004 Zhao Shuo, Bei Jinzhong, Xu Yantian.Analysis of GNSS Data Quality and Positioning Accuracy of Dual Frequency Smartphone[J].Science of Surveying and Mapping, 2019, 44(8):1-10 http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=chkx202002004
[10]	张楷时, 焦文海, 李建文.Android智能终端GNSS定位精度分析[J].武汉大学学报·信息科学版, 2019, 44(10):1 472-1 476 http://www.cnki.com.cn/Article/CJFDTotal-WHCH201910008.htm Zhang Kaishi, Jiao Wenhai, Li Jianwen.Analysis of GNSS Positioning Precision on Android Smart Device [J].Geomatics and Information Science of Wuhan University, 2019, 44(10):1 472-1 476 http://www.cnki.com.cn/Article/CJFDTotal-WHCH201910008.htm
[11]	张楷时.安卓智能终端精密定位关键技术研究[D].郑州: 信息工程大学, 2019 Zhang Kaishi.Research on Key Technologies for Precise Positioning of Android Smart Terminal[D].Wuhan: Information Engineering University, 2019
[12]	史翔.基于智能手机GNSS观测值的连续平滑定位算法[D].武汉: 武汉大学, 2019 Shi Xiang.Continuous Smoothing Positioning Algorithm Based on GNSS Observations of Smartphones [D].Wuhan: Wuhan University, 2019
[13]	Weng D, Gan X, Chen W, et al.A New DGNSS Positioning Infrastructure for Android Smartphones [J].Sensors, 2020, 20(2) :1-15 https://www.mdpi.com/1424-8220/20/2/487/pdf
[14]	Zhang X, Tao X, Zhu F, et al.Quality Assessment of GNSS Observations from an Android N Smartphone and Positioning Performance Analysis Using Time-Differenced Filtering Approach[J].GPS Solutions, 2018, 22(3) :70-80 http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=150023973d177fcad6da5ea14de41ce4
[15]	Realini E, Caldera S, Pertusini L, et al. Precise GNSS Positioning Using Smart Devices[J].Sensors, 2017, 17(10) :2 434-2 447 http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=MDPI000000174518
[16]	Liu W, Shi X, Zhu F, et al.Quality Analysis of Multi-GNSS Raw Observations and a Velocity-Ai- ded Positioning Approach Based on Smartphones[J].Advances in Space Research, 2019, 63(8):2 358-2 377 http://www.sciencedirect.com/science/article/pii/S0273117719300122
[17]	Dabove P, Di Pietra V.Towards High Accuracy GNSS Real-Time Positioning with Smartphones[J].Advances in Space Research, 2019, 63(1):94-102 http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=4e54d9fc97c53665b3f00f80af7b00c5
[18]	Hatch R.The Synergism of GPS Code and Carrier Measurements[C].International Geodetic Symposium on Satellite Doppler Positioning, Physical Sciences Laboratory of New Mexico State University, Las Cruces, NM, USA, 1982
[19]	郑南山, 李增科.多谱勒平滑伪距在GPS/INS紧耦合导航中的应用[J].武汉大学学报·信息科学版, 2014, 39(10):1 158-1 162 Zheng Nanshan, Li Zengke.Application of Doppler Smoothing Pseudo Range in GPS/INS Tightly Coupled Navigation[J].Geomatics and Information Scien-ce of Wuhan University, 2014, 39(10):1 158-1 162
[20]	Teunissen P J.A Canonical Theory for Short GPS Baselines Part II:The Ambiguity Precision and Correlation[J].Journal of Geodesy, 1997, 71:320-336 doi: 10.1007%2Fs001900050107

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