Satellite Navigation最新文献_第2页

High-precision services of BeiDou navigation satellite system (BDS): current state, achievements, and future directions 北斗卫星导航系统（BDS）的高精度服务：现状、成就和未来方向

IF 11.2 1区地球科学

Satellite Navigation Pub Date : 2024-06-24 DOI: 10.1186/s43020-024-00143-8

Weiguang GAO, Wei Zhou, Chengpan Tang, Xingxing Li, Yongqiang Yuan, Xiaogong Hu

{"title":"High-precision services of BeiDou navigation satellite system (BDS): current state, achievements, and future directions","authors":"Weiguang GAO, Wei Zhou, Chengpan Tang, Xingxing Li, Yongqiang Yuan, Xiaogong Hu","doi":"10.1186/s43020-024-00143-8","DOIUrl":"https://doi.org/10.1186/s43020-024-00143-8","url":null,"abstract":"With the rapid development of technologies such as autonomous driving and robotic navigation, the demand for accurate and reliable positioning results with BDS has increased. The current status and future development of BDS high precision services are reviewed. The operational PPP-B2b of BDS-3 achieves positioning accuracy at decimeter-level within 14 min and has the drawbacks in regional coverage and long convergence time compared with the international counterparts, such as CLAS of QZSS and HAS of Galileo. A development frame for multi-layer BDS high-precision services is proposed by considering its construction cost, compatibility of user terminal, operating maintenance burden, and service level. The global high-precision service with the improved orbit and clock accuracy enhanced with the inter-satellite link is taken as the most fundamental layer. By incorporating inter-satellite link observations, the orbit errors URE and clock errors are significantly reduced to approximately 0.05 m and 0.16 ns, respectively, which will expand PPP service to global. Based on this, the regional PPP-AR and PPP-RTK services with improved convergence performance are taken as the second layer. With PPP-AR, the convergence time drops to 10 min. With PPP-RTK, the convergence time would be further shortened to less than 3 min. The LEO enhanced PPP service is taken as the third layer which overcomes both drawbacks of the long convergence time of the inter-satellite link enhanced service (the first layer) and the regional coverage of the PPP-AR/PPP-RTK services (the second layer). The simulation results show that by introducing a LEO constellation of 288 satellites, the LEO enhanced PPP can achieve positioning accuracy better than 5 cm within approximately 1 min. In addition, the integration of LEO constellation and PPP-RTK is further proposed to enable instantaneous convergence. The implementation challenges are also presented.","PeriodicalId":52643,"journal":{"name":"Satellite Navigation","volume":null,"pages":null},"PeriodicalIF":11.2,"publicationDate":"2024-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141511011","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Retrieval of sea ice thickness using FY-3E/GNOS-II data 利用 FY-3E/GNOS-II 数据检索海冰厚度

IF 11.2 1区地球科学

Satellite Navigation Pub Date : 2024-06-10 DOI: 10.1186/s43020-024-00138-5

Yunjian Xie, Qingyun Yan

引用次数: 0

Amplitude scintillation detection with geodetic GNSS receivers leveraging machine learning decision tree 利用机器学习决策树对大地测量全球导航卫星系统接收器进行振幅闪烁探测

IF 11.2 1区地球科学

Satellite Navigation Pub Date : 2024-06-03 DOI: 10.1186/s43020-024-00136-7

Wang Li, Yiping Jiang, Hongyuan Ji, Wenqiang Wei

引用次数: 0

Remote sensing and its applications using GNSS reflected signals: advances and prospects 利用全球导航卫星系统反射信号进行遥感及其应用：进展与前景

IF 11.2 1区地球科学

Satellite Navigation Pub Date : 2024-05-27 DOI: 10.1186/s43020-024-00139-4

Shuanggen Jin, Adriano Camps, Yan Jia, Feng Wang, Manuel Martin-Neira, Feixiong Huang, Qingyun Yan, Shuangcheng Zhang, Zhongyu Li, Komi Edokossi, Dongkai Yang, Zhiyu Xiao, Zhongmin Ma, Weihua Bai

{"title":"Remote sensing and its applications using GNSS reflected signals: advances and prospects","authors":"Shuanggen Jin, Adriano Camps, Yan Jia, Feng Wang, Manuel Martin-Neira, Feixiong Huang, Qingyun Yan, Shuangcheng Zhang, Zhongyu Li, Komi Edokossi, Dongkai Yang, Zhiyu Xiao, Zhongmin Ma, Weihua Bai","doi":"10.1186/s43020-024-00139-4","DOIUrl":"https://doi.org/10.1186/s43020-024-00139-4","url":null,"abstract":"The Global Navigation Satellite Systems (GNSS), including the US’s GPS, China’s BDS, the European Union’s Galileo, and Russia’s GLONASS, offer real-time, all-weather, any-time, anywhere and high precision observations by transmitting L band signals continuously, which have been widely used for positioning, navigation and timing. With the development of GNSS technology, it has been found that GNSS-reflected signals can be used to detect Earth’s surface characteristics together with other signals of opportunity. In this paper, the current status and latest advances are presented on Global Navigation Satellite System-Reflectometry (GNSS-R) in theory, methods, techniques and observations. New developments and progresses in GNSS-R instruments, theoretical modeling, and signal processing, ground and space-/air-borne experiments, parameters retrieval (e.g. wind speed, sea surface height, soil moisture, ice thickness), sea surface altimetry and applications in the atmosphere, oceans, land, vegetation, and cryosphere are given and reviewed in details. Meanwhile, the challenges in the GNSS-R development of each field are also given. Finally, the future applications and prospects of GNSS-R are discussed, including multi-GNSS reflectometry, new GNSS-R receivers, GNSS-R missions, and emerging applications, such as mesoscale ocean eddies, ocean phytoplankton blooms, microplastics detection, target recognition, river flow, desert studies, natural hazards and landslides monitoring.","PeriodicalId":52643,"journal":{"name":"Satellite Navigation","volume":null,"pages":null},"PeriodicalIF":11.2,"publicationDate":"2024-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141167122","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Long-term autonomous time-keeping of navigation constellations based on sparse sampling LSTM algorithm 基于稀疏采样 LSTM 算法的导航星座长期自主计时

IF 11.2 1区地球科学

Satellite Navigation Pub Date : 2024-05-27 DOI: 10.1186/s43020-024-00137-6

Shitao Yang, Xiao Yi, Richang Dong, Yifan Wu, Tao Shuai, Jun Zhang, Qianyi Ren, Wenbin Gong

{"title":"Long-term autonomous time-keeping of navigation constellations based on sparse sampling LSTM algorithm","authors":"Shitao Yang, Xiao Yi, Richang Dong, Yifan Wu, Tao Shuai, Jun Zhang, Qianyi Ren, Wenbin Gong","doi":"10.1186/s43020-024-00137-6","DOIUrl":"https://doi.org/10.1186/s43020-024-00137-6","url":null,"abstract":"The system time of the four major navigation satellite systems is mainly maintained by multiple high-performance atomic clocks at ground stations. This operational mode relies heavily on the support of ground stations. To enhance the high-precision autonomous timing capability of next-generation navigation satellites, it is necessary to autonomously generate a comprehensive space-based time scale on orbit and make long-term, high-precision predictions for the clock error of this time scale. In order to solve these two problems, this paper proposed a two-level satellite timing system, and used multiple time-keeping node satellites to generate a more stable space-based time scale. Then this paper used the sparse sampling Long Short-Term Memory (LSTM) algorithm to improve the accuracy of clock error long-term prediction on space-based time scale. After simulation, at sampling times of 300 s, 8.64 × 104 s, and 1 × 106 s, the frequency stabilities of the spaceborne timescale reach 1.35 × 10–15, 3.37 × 10–16, and 2.81 × 10–16, respectively. When applying the improved clock error prediction algorithm, the ten-day prediction error is 3.16 × 10–10 s. Compared with those of the continuous sampling LSTM, Kalman filter, polynomial and quadratic polynomial models, the corresponding prediction accuracies are 1.72, 1.56, 1.83 and 1.36 times greater, respectively.","PeriodicalId":52643,"journal":{"name":"Satellite Navigation","volume":null,"pages":null},"PeriodicalIF":11.2,"publicationDate":"2024-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141170575","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

An improved GNSS ambiguity best integer equivariant estimation method with Laplacian distribution for urban low-cost RTK positioning 用于城市低成本 RTK 定位的改进型 GNSS 含混度最佳整数等差数估计方法与拉普拉卡分布

IF 11.2 1区地球科学

Satellite Navigation Pub Date : 2024-05-20 DOI: 10.1186/s43020-024-00134-9

Ying Liu, Wanke Liu, Xiaohong Zhang, Yantao Liang, Xianlu Tao, Liye Ma

引用次数: 0

Impacts of inter-satellite links on the ECOM model performance for BDS-3 MEO satellites 卫星间链路对 BDS-3 MEO 卫星的 ECOM 模型性能的影响

IF 11.2 1区地球科学

Satellite Navigation Pub Date : 2024-05-13 DOI: 10.1186/s43020-024-00131-y

Chao Yang, Jing Guo, Xiaolong Xu, Longyu Wang, Qile Zhao

{"title":"Impacts of inter-satellite links on the ECOM model performance for BDS-3 MEO satellites","authors":"Chao Yang, Jing Guo, Xiaolong Xu, Longyu Wang, Qile Zhao","doi":"10.1186/s43020-024-00131-y","DOIUrl":"https://doi.org/10.1186/s43020-024-00131-y","url":null,"abstract":"Inter-satellite link (ISL) plays an essential role in current and future Global Navigation Satellite System (GNSS). In this study, we investigate the impact of ISL observations on precise orbit determination for BeiDou-3 Navigation Satellite System (BDS-3) Medium Earth Orbit (MEO) satellites based on different Extended CODE Orbit Models (ECOM). Thanks to the better observation geometry of the Ka-band ISL data compared to the L-band data for BDS-3 MEO satellites, the ISL solution substantially reduces Orbit Boundary Discontinuity (OBD) errors, except for C30, which suffers from unstable Ka-band hardware delay. From the external quality analysis, ISL significantly enhances the reliability of the orbit of MEO satellites manufactured by the China Academy of Space Technology (CAST). The standard deviation (STD) of the satellite laser ranging (SLR) residuals is approximately 2.5 cm, and the root mean square (RMS) is reduced by 10–23% compared to L-band solutions. Besides, the Sun-elongation angle dependent systematic error in SLR residuals nearly vanishes based on the reduced 5-parameter ECOM (ECOM1) or extended 7-parameter ECOM (ECOM2) with ISL data. This is because the ISL reduces the correlation between state parameters and solar radiation pressure (SRP) parameters as well as those among SRP parameters, leading to a more accurate estimation of both orbit and SRP perturbations, particularly those along B direction. This confirms that the deficiency of the SRP models for BDS-3 CAST satellites can be compensated by using better observation geometry from ISL data. On the other hand, for the satellite manufactured by Shanghai Engineering Center for Microsatellites (SECM), the ISL allows for a more accurate estimation of the Bc1 parameter in the ECOM1 model. This only reduces linear systematic error, possibly because the impact generated by the satellite bus cannot be entirely absorbed by the B-direction parameters.","PeriodicalId":52643,"journal":{"name":"Satellite Navigation","volume":null,"pages":null},"PeriodicalIF":11.2,"publicationDate":"2024-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140931642","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Crowdsourcing RTK: a new GNSS positioning framework for building spatial high-resolution atmospheric maps based on massive vehicle GNSS data 众包 RTK：基于海量车辆 GNSS 数据构建空间高分辨率大气地图的新型 GNSS 定位框架

IF 11.2 1区地球科学

Satellite Navigation Pub Date : 2024-05-13 DOI: 10.1186/s43020-024-00135-8

Hongjin Xu, Xingyu Chen, Jikun Ou, Yunbin Yuan

{"title":"Crowdsourcing RTK: a new GNSS positioning framework for building spatial high-resolution atmospheric maps based on massive vehicle GNSS data","authors":"Hongjin Xu, Xingyu Chen, Jikun Ou, Yunbin Yuan","doi":"10.1186/s43020-024-00135-8","DOIUrl":"https://doi.org/10.1186/s43020-024-00135-8","url":null,"abstract":"High-quality spatial atmospheric delay correction information is essential for achieving fast integer ambiguity resolution (AR) in precise positioning. However, traditional real-time precise positioning frameworks (i.e., NRTK and PPP-RTK) depend on spatial low-resolution atmospheric delay correction through the expensive and sparsely distributed CORS network. This results in limited public appeal. With the mass production of autonomous driving vehicles, more cost-effective and widespread data sources can be explored to create spatial high-resolution atmospheric maps. In this study, we propose a new GNSS positioning framework that relies on dual base stations, massive vehicle GNSS data, and crowdsourced atmospheric delay correction maps (CAM). The map is easily produced and updated by vehicles equipped with GNSS receivers in a crowd-sourced way. Specifically, the map consists of between-station single-differenced ionospheric and tropospheric delays. We introduce the whole framework of CAM initialization for individual vehicles, on-cloud CAM maintenance, and CAM-augmented user-end positioning. The map data are collected and preprocessed in vehicles. Then, the crowdsourced data are uploaded to a cloud server. The massive data from multiple vehicles are merged in the cloud to update the CAM in time. Finally, the CAM will augment the user positioning performance. This framework forms a beneficial cycle where the CAM’s spatial resolution and the user positioning performance mutually improve each other. We validate the performance of the proposed framework in real-world experiments and the applied potency at different spatial scales. We highlight that this framework is a reliable and practical positioning solution that meets the requirements of ubiquitous high-precision positioning.","PeriodicalId":52643,"journal":{"name":"Satellite Navigation","volume":null,"pages":null},"PeriodicalIF":11.2,"publicationDate":"2024-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140931818","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Determination of global geodetic parameters using satellite laser ranging to Galileo, GLONASS, and BeiDou satellites 利用伽利略、格罗纳斯和北斗卫星的卫星激光测距确定全球大地参数

IF 11.2 1区地球科学

Satellite Navigation Pub Date : 2024-05-06 DOI: 10.1186/s43020-024-00132-x

Xingxing Li, Jiaqing Lou, Yongqiang Yuan, Jiaqi Wu, Keke Zhang

{"title":"Determination of global geodetic parameters using satellite laser ranging to Galileo, GLONASS, and BeiDou satellites","authors":"Xingxing Li, Jiaqing Lou, Yongqiang Yuan, Jiaqi Wu, Keke Zhang","doi":"10.1186/s43020-024-00132-x","DOIUrl":"https://doi.org/10.1186/s43020-024-00132-x","url":null,"abstract":"The new Global Navigation Satellite System (GNSS) satellites, including GLONASS, Galileo, and BeiDou system, are equipped with Laser Retroreflector Arrays (LRA) to support Satellite Laser Ranging (SLR) tracking, which contributes to the estimation of global geodetic parameters. In this study, we estimate the global geodetic parameters using the SLR observations to GNSS satellites and also investigate the effects of different data processing strategies on the estimated Earth Rotation Parameters (ERP), geocenter motion, and terrestrial scale. The results indicate that setting range bias parameters for each satellite-station pair can effectively account for the satellite-specific biases induced by LRAs, leading to smaller Root Mean Square Errors (RMSE) of the post-fit SLR residuals. Furthermore, estimating the range biases for each satellite-station pair improves the accuracy of the estimated station coordinates and ERP. We also examine the impact of different arc lengths on the estimates of ERP, geocenter motion, and terrestrial scale. The results show that extending arc length can significantly reduce the formal error of ERP. The 7-day strategy produces the smallest RMSEs of 473 microarcseconds and 495 microarcseconds for the estimated X- and Y-component of pole coordinates, and 52 microseconds for length-of-day, respectively. However, the estimated geocenter motion is less affected by the arc length, even the shortest 1-day arc strategy can capture the seasonal variations of geocenter motion in Z component. For scale estimation, extending the arc length notably improves the accuracy of the estimated station coordinates and scale, but this advantage becomes less noticeable in longer arcs. The 7-day solution also obtains the closet scale results compared to ITRF2014, with the RMSE of 2.10 × 10–9.","PeriodicalId":52643,"journal":{"name":"Satellite Navigation","volume":null,"pages":null},"PeriodicalIF":11.2,"publicationDate":"2024-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140884246","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Demand and key technology for a LEO constellation as augmentation of satellite navigation systems 低地轨道星座作为卫星导航系统增强系统的需求和关键技术

IF 11.2 1区地球科学

Satellite Navigation Pub Date : 2024-04-29 DOI: 10.1186/s43020-024-00133-w

Yuanxi Yang, Yue Mao, Xia Ren, Xiaolin Jia, Bijiao Sun

{"title":"Demand and key technology for a LEO constellation as augmentation of satellite navigation systems","authors":"Yuanxi Yang, Yue Mao, Xia Ren, Xiaolin Jia, Bijiao Sun","doi":"10.1186/s43020-024-00133-w","DOIUrl":"https://doi.org/10.1186/s43020-024-00133-w","url":null,"abstract":"A Low Earth Orbit (LEO) constellation augmenting satellite navigation is important in the future development of Global Navigation Satellite System (GNSS). GNSS augmented by LEO constellations can improve not only the accuracy of Positioning, Navigation, and Timing (PNT), but also the consistency and reliability of secure PNT system. This paper mainly analyzes the diverse demands of different PNT users for LEO augmented GNSS, including the precision demand in real-time, the availability demand in special areas, the navigation signal enhancement demand in complex electromagnetic environments, and the integrity demand with high security. Correspondingly, the possible contributions of LEO constellations to PNT performance are analyzed from multiple aspects. A particular attention is paid to the special PNT user requirements that cannot be fulfilled with existing GNSS, such as the PNT service demand in the polar regions and the onboard GNSS orbit determination demand of some LEO satellites. The key technologies to be considered in the constellation design, function realization, and payload development of the LEO-augmented navigation system are summarized.","PeriodicalId":52643,"journal":{"name":"Satellite Navigation","volume":null,"pages":null},"PeriodicalIF":11.2,"publicationDate":"2024-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140810232","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0