Signal quality analysis and quality check of BDS3 Precise Point Positioning in the Arctic Ocean

Xiaoguo Guan; Hongzhou Chai; Guorui Xiao; Zhenqiang Du; Wenlong Qi; Xueping Wang

doi:10.1007/s13131-021-1704-7

Volume 41 Issue 2

Feb. 2022

Turn off MathJax

Article Contents

Abstract

References

Article Navigation > Acta Oceanologica Sinica > 2022 > 41(2): 166-179

Xiaoguo Guan, Hongzhou Chai, Guorui Xiao, Zhenqiang Du, Wenlong Qi, Xueping Wang. Signal quality analysis and quality check of BDS3 Precise Point Positioning in the Arctic Ocean[J]. Acta Oceanologica Sinica, 2022, 41(2): 166-179. doi: 10.1007/s13131-021-1704-7

Citation:

Xiaoguo Guan, Hongzhou Chai, Guorui Xiao, Zhenqiang Du, Wenlong Qi, Xueping Wang. Signal quality analysis and quality check of BDS3 Precise Point Positioning in the Arctic Ocean[J]. Acta Oceanologica Sinica, 2022, 41(2): 166-179. doi: 10.1007/s13131-021-1704-7

Citation:

Xiaoguo Guan, Hongzhou Chai, Guorui Xiao, Zhenqiang Du, Wenlong Qi, Xueping Wang. Signal quality analysis and quality check of BDS3 Precise Point Positioning in the Arctic Ocean[J]. Acta Oceanologica Sinica, 2022, 41(2): 166-179. doi: 10.1007/s13131-021-1704-7

PDF( 1115 KB)

Signal quality analysis and quality check of BDS3 Precise Point Positioning in the Arctic Ocean

doi: 10.1007/s13131-021-1704-7

1.
College of Urban and Environmental Sciences, Xuchang University, Xuchang 461000, China
2.
Institute of Geospatial Information, Information Engineering University, Zhengzhou 450001, China
3.
Department of Civil Engineering, Henan Vocational College of Water Conservancy and Environment, Zhengzhou 450001, China

Funds: The Science and Technology of Henan Province under contract No. 212102310029; the National Natural Science Founation Cultivation Project of Xuchang University under contract No. 2022GJPY007; the Educational Teaching Research and Practice Project of Xuchang University under contract No. XCU2021-YB-024.

More Information

Corresponding author: E-mail: guanguo666@163.com
Received Date: 2019-06-25
Accepted Date: 2019-11-08

Available Online: 2021-12-24

Publish Date: 2022-02-01

Abstract

Abstract

This study analyzes the signal quality and the accuracy of BeiDou 3rd generation Satellite Navigation System (BDS3) Precise Point Positioning (PPP) in the Arctic Ocean. Assessment of signal quality of BDS3 includes signal to noise ratio (SNR), multipath (MP), dilution of precision (DOP), and code-minus-carrier combination (CC). The results show that, 5 to 13 satellites are visible at any time in the Arctic Ocean area as of September 2018, which are sufficient for positioning. In the mid-latitude oceanic region and in the Arctic Ocean, the SNR is 25–52 dB Hz and the MP ranges from −2 m to 2 m. As the latitude increases, the DOP values show large variation, which may be related to the distribution of BDS satellites. The CC values of signals B1I and BIC range from −5 m to 5 m in the mid-latitude sea area and the Arctic Ocean, which means the effect of pseudorange noise is small. Moreover, as to obtain the external precise reference value for GNSS positioning in the Arctic Ocean region is difficult, it is hard to evaluate the accuracy of positioning results. An improved isotropy-based protection level method based on Receiver Autonomous Integrity Monitoring is proposed in the paper, which adopts median filter to smooth the gross errors to assess the precision and reliability of PPP in the Arctic Ocean. At first, the improved algorithm is verified with the data from the International GNSS Service Station Tixi. Then the accuracy of BDS3 PPP in the Arctic Ocean is calculated based on the improved algorithm. Which shows that the kinematic accuracy of PPP can reach the decimeter level in both the horizontal and vertical directions, and it meets the precision requirements of maritime navigation.
- BDS3,
- Arctic Ocean,
- signal quality analysis,
- protection level,
- quality check,
- Precise Point Positioning,
- satellite navigation

FullText(HTML)

References(39)

References

[1]	Abdel-Salam M. 2005. Precise point positioning using un-differenced code and carrier phase observations [dissertation]. Calgary, Canada: University of Calgary
[2]	Cai Changsheng, He Chang, Santerre R, et al. 2016. A comparative analysis of measurement noise and multipath for four constellations: GPS, BeiDou, GLONASS and Galileo. Survey Review, 48(349): 287–295. doi: 10.1179/1752270615Y.0000000032
[3]	CSNO. 2019. BeiDou Navigation Satellite System Signal in Space Interface Control Document Open Service Signal B1I A (Version 3.0). Beijing: China Satellite Navigation Office
[4]	Du Yujun, Wang Zemin, An Jiachun, et al. 2015. Positioning analysis of BeiDou navigation satellite system over ocean and Antarctic regions. Chinese Journal of Polar Research, 27(1): 91–97
[5]	Feng Shaojun, Ochieng W, Moore T, et al. 2009. Carrier phase-based integrity monitoring for high-accuracy positioning. GPS Solutions, 13(1): 13–22. doi: 10.1007/s10291-008-0093-0
[6]	Gao Yang, Shen Xiaobing. 2002. A new method for carrier-phase-based precise point positioning. Navigation, 49(2): 109–116. doi: 10.1002/j.2161-4296.2002.tb00260.x
[7]	Geng Jianghui, Teferle F N, Shi Chuang, et al. 2009. Ambiguity resolution in precise point positioning with hourly data. GPS Solutions, 13(4): 263–270. doi: 10.1007/s10291-009-0119-2
[8]	Gumilar I, Bramanto B, Kuntjoro W, et al. 2018. Contribution of BeiDou satellite system for long baseline GNSS measurement in Indonesia. IOP Conference Series: Earth and Environmental Science, 149(1): 012070. doi: 10.1088/1755-1315/149/1/012070
[9]	Guo Fei. 2013. Theory and methodology of quality control and quality analysis for GPS precise point positioning [dissertation] . Wuhan: Wuhan University
[10]	Hauschild A, Montenbruck O, Sleewaegen J, et al. 2012. Characterization of compass M-1 signals. GPS Solutions, 16(1): 117–126. doi: 10.1007/s10291-011-0210-3
[11]	Lee Y C. 1986. Analysis of range and position comparison methods as a means to provide GPS integrity in the user receiver. In: Proceedings of the 42nd Annual Meeting-Institute of Navigation. Washington, DC, USA: Institute of Navigation, 1–4
[12]	Lee Y C. 2006. A new improved RAIM method based on the optimally weighted average solution (OWAS) under the assumption of a single fault. In: Proceedings of the ION NTM. Monterey, CA, USA: ION
[13]	Li Min, Qu Lizhong, Zhao Qile, et al. 2014. Precise point positioning with the BeiDou navigation satellite system. Sensors, 14(1): 927–943. doi: 10.3390/s140100927
[14]	Liu Zenghong, Wu Xiaofen, Xu Jianping, et al. 2017. China Argo project: progress in China Argo ocean observations and data applications. Acta Oceanologica Sinica, 36(6): 1–11. doi: 10.1007/s13131-017-1035-x
[15]	Lou Yidong, Li Xianjie, Zheng Fu, et al. 2018. Assessment and impact on BDS positioning performance analysis of recent BDS IGSO-6 satellite. Journal of Navigation, 71(3): 729–748. doi: 10.1017/s0373463317000832
[16]	Lu Chengliang, Zhang Shengkai, E Dongchen. 2011. Analysis of GPS data in Antarctic. Journal of Geodesy and Geodynamic, 31(2): 117–120
[17]	Luo Xiaowen, Zhang Tao, Gao Jinyao, et al. 2015. Estimation of annual variation of water vapor in the Arctic Ocean between 80°–87°N using shipborne GPS data based on kinematic precise point positioning. Acta Oceanologica Sinica, 34(6): 1–4. doi: 10.1007/s13131-015-0680-1
[18]	Luo Xiaomin, Gu Shengfeng, Lou Yidong, et al. 2018. Assessing the performance of GPS precise point positioning under different geomagnetic storm conditions during solar cycle 24. Sensors, 18(6): 1784. doi: 10.3390/s18061784
[19]	Madrid P F N, Saenz M A, Varo C M, et al. 2015a. Computing meaningful integrity bounds of a low-cost Kalman-filtered navigation solution in urban environments. In: Proceedings of the 28th International Technical Meeting of the Satellite Division of the Institute of Navigation (ION GNSS+2015). Tampa, FL, USA: ION, 2914–2925
[20]	Madrid P F N, Saenz M A, Varo C M, et al. 2015b. New approach for integrity bounds computation applied to advanced precise positioning applications. In: Proceedings of the 28th International Technical Meeting of the Satellite Division of the Institute of Navigation. (ION GNSS+2015). Tampa, FL, USA: ION, 2821–2834
[21]	Merino M M R, Lainez M D. 2012. Integrity for advanced precise positioning applications. Transactions of the Japan Society of Mechanical Engineers C, 58(551): 2249–2254. doi: 10.1299/kikaic.58.2249
[22]	Miguel A S, Joaquin C S M. 2009. An error isotropy-based approach for multiple fault conditions. Inside CNSS, 2009,1: 28–36
[23]	Montenbruck O, Hauschild A, Steigenberger P, et al. 2013. Initial assessment of the COMPASS/BeiDou-2 regional navigation satellite system. GPS Solutions, 17(2): 211–222. doi: 10.1007/s10291-012-0272-x
[24]	Tu Rui, Zhang Pengfei, Zhang Rui, et al. 2018. Modeling and assessment of precise time transfer by using BeiDou navigation satellite system triple-frequency signals. Sensors, 18(4): 1017. doi: 10.3390/s18041017
[25]	Wang Guangxing, De Jong K, Zhao Qile, et al. 2015. Multipath analysis of code measurements for BeiDou geostationary satellites. GPS Solutions, 19(1): 129–139. doi: 10.1007/s10291-014-0374-8
[26]	Wang Ershen, Jia Chaoying, Tong Gang, et al. 2018. Fault detection and isolation in GPS receiver autonomous integrity monitoring based on chaos particle swarm optimization-particle filter algorithm. Advances in Space Research, 61(5): 1260–1272. doi: 10.1016/j.asr.2017.12.016
[27]	Wang Minghua, Wang Jiexian, Dong Danan, et al. 2019. Performance of BDS-3: satellite visibility and dilution of precision. GPS Solutions, 23(2): 56. doi: 10.1007/s10291-019-0847-x
[28]	Wanninger L, Beer S. 2015. BeiDou satellite-induced code Pseudorange variations: diagnosis and therapy. GPS Solutions, 19(4): 639–648. doi: 10.1007/s10291-014-0423-3
[29]	Xiao Wei, Liu Wenxiang, Sun Guangfu. 2016. Modernization milestone: BeiDou M2-S initial signal analysis. GPS Solutions, 20(1): 125–133. doi: 10.1007/s10291-015-0496-7
[30]	Xiao Guorui, Sui lifen, Herk B, et al. 2018. Estimating satellite phase fractional cycle biases based on Kalman filter. GPS Solutions, 22(3): 82. doi: 10.1007/s10291-018-0749-3
[31]	Xu Aigong, Xu Zongqiu, Ge Maorong, et al. 2013. Estimating zenith tropospheric delays from BeiDou navigation satellite system observations. Sensors, 13(4): 4514–4526. doi: 10.3390/s130404514
[32]	Xu Yangyin, Yang Yuanxi, He Haibo, et al. 2018. Quality analysis of the range measurement signals of test satellites in BeiDou global system. Geomatics and Information Science of Wuhan University (in Chinese), 43(8): 1214–1221
[33]	Yan Xincun, Ouyang Yongzhong, Sun Fuping. 2012. Reliability evaluation method of precise point positioning algorithm results. GNSS World of China, 37(6): 9–12,16
[34]	Yang Yuanxi. 2010. Progress, contribution and challenges of Compass/BeiDou satellite navigation system. Acta Geodaetica et Cartographica Sinica, 39(1): 1–6
[35]	Yang Yuanxi, Li Jinlong, Wang Aibing, et al. 2014. Preliminary assessment of the navigation and positioning performance of BeiDou regional navigation satellite system. Science China: Earth Sciences, 57(1): 144–152. doi: 10.1007/s11430-013-4769-0
[36]	Yang Yuanxi, Xu Junyi. 2016. Navigation performance of BeiDou in Polar Area. Geomatics and Information Science of Wuhan University (in Chinese), 41(1): 15–20
[37]	Yang Yuanxi, Xu Yangyin, Li Jinlong, et al. 2018. Progress and performance evaluation of BeiDou global navigation satellite system: Data analysis based on BDS-3 demonstration system. Science China: Earth Sciences, 61(5): 614–624. doi: 10.1007/s11430-017-9186-9
[38]	Zhao Qile, Wang Chen, Guo Jing, et al. 2015. Assessment of the contribution of BeiDou GEO, IGSO, and MEO satellites to PPP in Asia-Paciﬁc region. Sensors, 15(12): 29970–29983. doi: 10.3390/s151229780
[39]	Zumberge J F, Heflin M B, Jefferson D C, et al. 1997. Precise point positioning for the efficient and robust analysis of GPS data from large networks. Journal of Geophysical Research: Solid Earth, 102(B3): 5005–5017. doi: 10.1029/96jb03860