| Citation: |
HU Chao, WANG Qianxin, GUO Zhongchen, ZHANG Yunlong. A GNSS system- and frequency-wide integrated multipath mitigation and positioning model[J]. Geomatics and Information Science of Wuhan University. DOI: 10.13203/j.whugis20230106
|
Objectives: it is suggested that the multi-frequency GNSS technologies powerfully accelerate the development of high-performance location services. However, the information of multi-frequency and all-system GNSS observations is not fully used in the processing of positioning parameters. Due to that the fixed combination model used in the traditional GNSS PPP solution, the multi-frequency observations are ignored in the parameters estimation. In this research, A GNSS system- and frequency-wide integrated multipath mitigation and positioning model is used to improve the PPP performances. Methods: firstly, a code multipath delay estimation model is designed by the combination of the multi-frequency observations in the stage of observations preprocessing, where the impacts of observation noise and ionospheric error are eliminated. Secondly, the multi-frequency ionosphere-free combination is constructed in each system based on the GNSS observations of whole systems and all frequencies to fully model the multi-frequency observations of the users received. Thirdly, integrated GNSS multi-system observations, the mathematical model of all-system and all-frequency combined positioning solution is constructed. Results: according to the experiments of GNSS static and kinematics observations, it is indicated that:GNSS multi-frequency observations can quickly mitigate the code multipath delays, especially in the kinematics conditions, where the advantages of multi-frequency observations are significantly presented. In the kinematics positioning solutions, compared with traditional BDS-3 dual-frequency kinematics PPP, the E, N and U directions can be improved with 81.3%, 16.7% and 79.0%, respectively, by the GNSS multi-frequency combined strategy. Moreover, the convergence time is significantly shortened. Conclusions: therefore, it is meaningful to use the proposed multi-GNSS and multi-frequency PPP solution, which can promote the improvement of GNSS location services.
| [1] |
Hein G. Status, Perspectives and Trends of Satellite Navigation[J]. Satellite Navigation, 2020, 1(1):22
|
| [2] |
Yang Yuanxi, Yang Chen, Ren Xia. PNT Intelligent Services[J]. Acta Geodaetica et Cartographica Sinica, 2021, 50(8):1006-1012(杨元喜, 杨诚, 任夏. PNT智能服务[J]. 测绘学报, 2021, 50(8):1006-1012)
|
| [3] |
Yang Y, Ren X, Jia X, Sun B. Development Trends of the National Secure PNT System Based on BDS[J]. Science China Earth Sciences, 2023, 66.
|
| [4] |
Montenbruck O., Steigenberger P., Prange L., et al. The Multi-GNSS Experiment (MGEX) of the International GNSS Service(IGS)-Achievements, Prospects and Challenges[J]. Advances in Space Research, 2017, 59(7):1671-1697
|
| [5] |
Yang Y., Ding Q., Gao W., et al. Principle and Performance of BDSBAS and PPP-B2b of BDS-3[J]. Satellite Navigation, 2022,3(1):5
|
| [6] |
Hu C., Wang Q., Wu Z., et al. A Mixed Multi-frequency Precise Point Positioning Strategy Based on the Combination of BDS-3 and GNSS Multi-frequency Observations[J]. Measurement Science and Technology, 2023, 34(2):025008
|
| [7] |
WANG Xilong, XU Xiaolong, ZHAO Qile. Signal Quality Analysis and Orbit Accuracy Verification of BDS-3[J]. Geomatics and Information Science of Wuhan University, 2023, 48(4):611-619. (王西龙, 许小龙, 赵齐乐. 北斗三号系统信号质量分析及轨道精度验证[J]. 武汉大学学报(信息科学版), 2023, 48(4):611-619.)
|
| [8] |
Zhang Zhetao, Li Bofeng, He Xiufeng. Geometry-free Single-epoch Resolution of BDS-3 Multi-frequency Carrier Ambiguities[J]. Acta Geodaetica et Cartographica Sinica, 2020, 49(9):1139-1148(章浙涛, 李博峰, 何秀凤. 北斗三号多频相位模糊度无几何单历元固定方法[J]. 测绘学报, 2020, 49(9):1139-1148)
|
| [9] |
Teunissen P., Montenbruck O. Handbook of Global Navigation Satellite Systems[M]. Springer, Berlin, 2017
|
| [10] |
Shi J., Ouyang C., Peng W. Assessment of BDS-3 Global Positioning Service:Ephemeris, SPP, PPP, RTK, and New Signal[J]. GPS Solutions, 2020, 24:81
|
| [11] |
Jin S., Su K. PPP Models and Performances from Single- to Quad-frequency BDS Observations[J]. Satellite Navigation, 2020, 1(1):13
|
| [12] |
Zhang Z., Li B., He X., et al. Models, Methods and Assessment of Four-frequency Carrier Ambiguity Resolution for BeiDou-3 Observations[J]. GPS Solutions, 2020, 24:96
|
| [13] |
Geng Jianghui, Chang Hua, Guo Jiang, et al. Three Multi-frequency and Multi-system GNSS High-precision Point Positioning Methods and Their Performance in Complex Urban Environment[J]. Acta Geodaetica et Cartographica Sinica, 2020, 49(1):1-13(耿江辉, 常华, 郭将, 等. 面向城市复杂环境的3种多频多系统GNSS单点高精度定位方法及性能分析[J]. 测绘学报, 2020, 49(1):1-13)
|
| [14] |
Cao Xinyun, Wang Jian. Cycle-slip Detection and Repair Using GPS Triple-frequency Un-differenced Observations[J]. Geomatics and Information Science of Wuhan University, 2014, 39(4):450-456(曹新运, 王坚. GPS三频非差观测值探测与修复周跳[J]. 武汉大学学报(信息科学版), 2014, 39(4):450-456)
|
| [15] |
Kuang K., Wang J., Han H. Real-time BDS-3 Clock Estimation with A Multi-frequency Uncombined Model Including New B1C/B2a Signals[J]. Remote Sensing, 2022, 14:966
|
| [16] |
Hu Chao, Wang Zhongyuan, Lvy Weicai, et al. A One-step Multipath Delay Correction Model for BeiDou Satellite Observations with Prior Constraint[J]. Geomatics and Information Science of Wuhan University, 2023, 48(1):101-112(胡超, 王中元, 吕伟才, 等. 一种顾及先验约束的北斗观测数据多路径一步修正模型[J]. 武汉大学学报(信息科学版), 2023, 48(1):101-112)
|
| [17] |
Li Xin, Zhang Xiaohong. Comparison of Satellite-Induced Code Bias Between BDS-2 and BDS-3 Satellites[J]. Journal of Geodesy and Geodynamics, 2018, 38(2):191-194. (李昕, 张小红. BDS-2和BDS-3卫星伪距多路径偏差特性比较[J]. 大地测量与地球动力学, 2018, 38(2):191-194)
|
| [18] |
Han S., Rizos C. The Impact of Two Additional Civilian GPS Frequencies on Ambiguity Resolution Strategies[R]. In:Proceedings of ION 55th Annual Meeting, Alexandria VA, January 25-27, 1999:315-321
|
| [19] |
GPS/GALILEO Multi-frequency Combined Differential Positioning[J]. Geomatics and Information Science of Wuhan University, 2010, 35(7):821-824(于兴旺, 张小红, 聂桂根. GPS/GALILEO多频组合差分定位研究[J]. 武汉大学学报(信息科学版), 2010, 35(7):821-824)
|
| [20] |
Zhang X., He X. BDS Triple-frequency Carrier-phase Linear Combination Models and Their Characteristics[J]. Science China:Earth Sciences, 2015, 58:896-905
|
| [21] |
Guo Z., Yu X., Hu C., et al. Research on Linear Combination Models of BDS Multi-frequency Observations and Their Characteristics[J]. Sustainability, 2022, 14(14):8644
|
| [22] |
Li B., Feng Y., Shen Y. Three Carrier Ambiguity Resolution:Distance-independent Performance Demonstrated Using Semi-generated Triple Frequency GPS Signals[J]. GPS Solutions, 2010, 14:177-184
|
| [23] |
Wang Z., Wang R., Wang Y., et al. Modelling and Assessment of A New Triple-frequency IF1213 PPP with BDS/GPS[J]. Remote Sensing, 2022, 14(18):4509
|
| [24] |
Wu Z., Wang Q., Hu C., et al. Modeling and Assessment of Five-frequency BDS Precise Point Positioning[J]. Satellite Navigation, 2022, 3(1):8
|
| [25] |
Guo F., Zhang X., Wang J., et al. Modeling and Assessment of Triple-frequency BDS Precise Point Positioning[J]. Journal of Geodesy, 2016, 90(11):1223-1235
|
| [26] |
Zhou F., Xu T. Modeling and Assessment of GPS/BDS/Galileo Triple-frequency Precise Point Positioning[J]. Acta Geodaetica et Cartographica Sinica, 2021, 50(1):61-70
|
| [27] |
Xu G. GPS:Theory, Algorithms and Applications[M]. Springer, Berlin, 2007
|
| [28] |
Wu Z., Wang Q., Yu Z., et al. Modeling and Performance Assessment of Precise Point Positioning with Multi-frequency GNSS Signals[J]. Measurement, 2022, 201, 111687.
|
| [29] |
Takasu T, Yasuda A. A Development of the Low-cost RTK-GPS Receiver with An Open Source Program Package RTKLIB[R]. International symposium on GPS/GNSS, Seogwiposi Jungmundong, Korea, 4-6 November, 2009
|
| [30] |
Su M., Zheng J., Yang Y., et al. A New Multipath Mitigation Method Based on Adaptive Thresholding Wavelet Denoising and Double Reference Shift Strategy[J]. GPS Solutions, 2018,22(2):40
|
| [31] |
Dong D, Wang M, Chen W, et al. Mitigation of Multipath Effect in GNSS Short Baseline Positioning by the Multipath Hemispherical map[J]. Journal of Geodesy, 2016, 90(3):255-262
|
| [32] |
Chang G., Chen C., Yang Y., et al. Tikhonov Regularization Based Modeling and Sidereal Filtering Mitigation of GNSS Multipath Errors[J]. Remote Sensing, 2018, 10(11):1801
|
| [33] |
Hu C., Wang Z., Rao P., et al. One-step Correction Strategy for BDS-2/BDS-3 Satellite Observation Code Bias and Multipath Delay[J]. Acta Geodaetica et Geophysica, 2021, 56(1):29-59
|
| [34] |
Wanninger L., Beer S. BeiDou Ssatellite-induced Code Pseudorange Variations:Diagnosis and Therapy[J]. GPS Solutions, 2015, 19(4):639-648
|
| [1] | CUI Zhixiang, LAN Chaozhen, ZHANG Yongxian, HOU Huitai, QIN Jianqi. A Method Based on Depth Features for Matching Thermal Infrared Images with Visible Images[J]. Geomatics and Information Science of Wuhan University, 2023, 48(2): 316-324. DOI: 10.13203/j.whugis20200181 |
| [2] | TU Chao-hu, YI Yao-hua, WANG Kai-li, PENG Ji-bing, YIN Ai-guo. Adaptive Multi-level Feature Fusion for Scene Ancient Chinese Text Recognition[J]. Geomatics and Information Science of Wuhan University. DOI: 10.13203/j.whugis20230176 |
| [3] | SONG Zhina, SUI Haigang, LI Yongcheng. A Survey on Ship Detection Technology in High-Resolution Optical Remote Sensing Images[J]. Geomatics and Information Science of Wuhan University, 2021, 46(11): 1703-1715. DOI: 10.13203/j.whugis20200481 |
| [4] | XIANG Tianzhu, GAO Rongrong, YAN Li, XU Zhenliang. Region Feature Based Multi-scale Fusion Method for Thermal Infrared and Visible Images[J]. Geomatics and Information Science of Wuhan University, 2017, 42(7): 911-917. DOI: 10.13203/j.whugis20141007 |
| [5] | Shao Zhenfeng, Bai Yun, Zhou Xiran. Improved Multi-scale Retinex Image Enhancement of UnderPoor Illumination[J]. Geomatics and Information Science of Wuhan University, 2015, 40(1): 32-39. |
| [6] | WANG Zhijun, GU Chongshi, ZHANG Zhijun. Evaluation Method of Loss-of-life Caused by Dam Breach Based on GIS and Neural Networks Optimized by Genetic Algorithms[J]. Geomatics and Information Science of Wuhan University, 2010, 35(1): 64-68. |
| [7] | TIAN Jing, GUO Qingsheng, FENG Ke, MA Meng. Progressive Selection Approach of Streets Based on Information Loss[J]. Geomatics and Information Science of Wuhan University, 2009, 34(3): 362-365. |
| [8] | YANG Guijun, LIU Qinhuo, LIU Qiang, GU Xingfa. Fusion of Visible and Thermal Infrared Remote Sensing Data Based on GA-SOFM Neural Network[J]. Geomatics and Information Science of Wuhan University, 2007, 32(9): 786-790. |
| [9] | XING Shuai, TAN Bing, XU Qing, LI Jiansheng. A New Algorithm for Remote Sensing Image Fusion Using Complex Wavelet Transform[J]. Geomatics and Information Science of Wuhan University, 2007, 32(1): 75-77. |
| [10] | GONG Shengrong, YANG Shanchao. A Visible Watermarking Algorithm Holding Image Content[J]. Geomatics and Information Science of Wuhan University, 2006, 31(9): 757-760. |
Supported by: Beijing Renhe Information Technology Co., Ltd. 
DownLoad: