Proceedings of the 32nd International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+ 2019)最新文献

{"title":"Design and Development of an Improved Sensitivity Reconfigurable GNSS Receiver for Space-based Reflectometry","authors":"S. Guruprasad","doi":"10.33012/2019.16891","DOIUrl":"https://doi.org/10.33012/2019.16891","url":null,"abstract":"","PeriodicalId":381025,"journal":{"name":"Proceedings of the 32nd International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+ 2019)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124054963","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Time Delay Estimation Based on Multi-band Multi-carrier Signal in Multipath Environments","authors":"H. Dun, C. Tiberius, G. Janssen, C. Diouf","doi":"10.33012/2019.16958","DOIUrl":"https://doi.org/10.33012/2019.16958","url":null,"abstract":"The matched filter is the most common approach for time delay estimation and ranging in positioning systems. The accuracy is mainly determined by the signal bandwidth and multipath propagation condition. Instead of occupying an enormous signal bandwidth, aggregating multiple signal bands, which are transmitted either simultaneously or sequentially from the same transmitter, can still provide a very high time resolution due to its large virtual signal bandwidth. This paper discusses time delay estimation based on multiband signals, considering precision, range ambiguity and resistance to multipath. Combining carrier phases from different bands, which are physically not perturbed by a sampling frequency offset, can also mitigate the bias of time delay estimation due to the sampling frequency error. Simulation results show that using two groups of multiband signals, which are sparsely placed in the signal spectrum, can significantly improve the accuracy of time delay estimation in the presence of multipath and sampling frequency offset.","PeriodicalId":381025,"journal":{"name":"Proceedings of the 32nd International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+ 2019)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127623524","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Integrated RTK/INS Navigation for Precision Agriculture","authors":"Haiyu Lan, M. Elsheikh, Walid Farid Abdelfatah, A. Wahdan, N. El-Sheimy","doi":"10.33012/2019.17116","DOIUrl":"https://doi.org/10.33012/2019.17116","url":null,"abstract":"","PeriodicalId":381025,"journal":{"name":"Proceedings of the 32nd International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+ 2019)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126372672","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"SAR/Galileo Return Link Entry into Service","authors":"Chiara Scaleggi, S. Delattre, I. Stojkovic, A. Rolla, Javier Perez-Bartolome, Jérémie Benoist, P. Novell","doi":"10.33012/2019.16951","DOIUrl":"https://doi.org/10.33012/2019.16951","url":null,"abstract":"","PeriodicalId":381025,"journal":{"name":"Proceedings of the 32nd International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+ 2019)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125567931","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Preliminary Test Results of Compact Wide-Area RTK: A New Satellite-Based Augmentation System for Centimeter-Level Service","authors":"Donguk Kim, Minhuck Park, C. Kee","doi":"10.33012/2019.16978","DOIUrl":"https://doi.org/10.33012/2019.16978","url":null,"abstract":"","PeriodicalId":381025,"journal":{"name":"Proceedings of the 32nd International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+ 2019)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132457507","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Precise Vehicle Localization based on Graph Optimization with Time-Relative RTK–GNSS","authors":"Taro Suzuki","doi":"10.33012/2019.16913","DOIUrl":"https://doi.org/10.33012/2019.16913","url":null,"abstract":"The global navigation satellite system (GNSS) has recently been used for the autonomous control of unmanned vehicles. However, GNSS data is not utilized to its full potential for autonomously navigating vehicles in urban environments. This is largely owing to the possibility of the degradation of GNSS observables (e.g., multipath and poor satellite geometry) in an urban environment. The GNSS Doppler frequency can be used to derive an accurate velocity without the requirement for a base station. This velocity is quite tolerant to the strong multipath condition as compared with the GNSS pseudorange-based position solution. Thus, the Doppler velocity can be used to estimate vehicle trajectories. However, positioning errors accumulate over time owing to the error in the estimated Doppler velocity. To overcome the aforementioned issues, we leverage the advances made within the robotics community surrounding the pose-graph-based optimization and localization technique. The main idea of this study is that a loop closure of the pose graph is generated from a time-relative real-time kinematic GNSS (TR-RTK–GNSS) technique. The TR-RTK-GNSS is based on time-differential carrier phase positioning, which is a method comprising the implementation of a precise carrier-phase-based differential GNSS with a single low-cost GNSS receiver. As compared with the conventional RTK–GNSSs, we can directly compute the vehicle relative position using only a stand-alone GNSS receiver. The initial pose graph is generated from the accumulated velocity computed using a GNSS Doppler measurement. To cancel the accumulated error of the velocity, we use the TR-RTK–GNSS as the loop closure in the graph-based optimization frameworks. To confirm the effectiveness of the proposed technique, two kinematic positioning tests were performed using an unmanned aerial vehicle and a ground vehicle. In conclusion, we can estimate the vehicle trajectory with centimeter accuracy in an open-sky environment and with a few tens of centimeters accuracy in an urban environment using only a stand-alone GNSS receiver. Based on the test results, we concluded that the proposed technique is effective for estimating the precise vehicle trajectory.","PeriodicalId":381025,"journal":{"name":"Proceedings of the 32nd International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+ 2019)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130079514","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Enhanced Fixed Wing UAV Navigation in Extended GNSS Outages using a Vehicle Dynamics Model and Raw GNSS Observables","authors":"Hery A. Mwenegoha, T. Moore, J. Pinchin, M. Jabbal","doi":"10.33012/2019.17056","DOIUrl":"https://doi.org/10.33012/2019.17056","url":null,"abstract":"","PeriodicalId":381025,"journal":{"name":"Proceedings of the 32nd International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+ 2019)","volume":"88 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134408032","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Statistical Investigation of Android GNSS Data: Case Study Using Xiaomi Mi 8 Dual-Frequency Raw Measurements","authors":"L. Massarweh, F. Darugna, D. Psychas, Jon Bruno","doi":"10.33012/2019.17072","DOIUrl":"https://doi.org/10.33012/2019.17072","url":null,"abstract":"Officially released on August 2016, the Android 7.0 has been a breakthrough for the Global Navigation Satellite System (GNSS) community. Starting with the introduction of its Application Programming Interface 24 (API 24), Android users have been able to directly access raw GNSS measurements within their smartphone, independently on the specific phone design or manufacturer. In this research we consider as a case-study device the Xiaomi Mi 8, equipped with the BCM47755 location hub (first dual-frequency GNSS chipset), after being upgrade to Android 9.0 in order to access new functionalities implemented in the API 28. The analysis of raw measurements and their quality is fundamental in smartphone-based positioning, since biased or extremely noisy estimates of the pseudorange measurements will hamper the precise positioning performances. Here, we report on several tests performed in static mode over a geodetic pillar, under similar conditions and covering time-spans up to several hours. Main quantities retrieved from the API were first described and then characterized based on the statistics retrieved from all these long dataset. After some considerations, a dependency w.r.t. the carrier-to-noise density ratio (C/N0) has been investigated for some of these variables, as well as for the impact of the API multipath indicator on the available observations. Finally, a preliminary C/N0-based trade-off between data ‘quantity’ and ‘quality’ is here proposed in order to support smartphone-based precise positioning.","PeriodicalId":381025,"journal":{"name":"Proceedings of the 32nd International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+ 2019)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131850579","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Feasibility Analysis of Different Airborne Architectures for DFMC GNSS: How to Consolidate the Different Architecture Options?","authors":"A. Lipp","doi":"10.33012/2019.17045","DOIUrl":"https://doi.org/10.33012/2019.17045","url":null,"abstract":"","PeriodicalId":381025,"journal":{"name":"Proceedings of the 32nd International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+ 2019)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130820753","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Ionospheric Delay Gradient Threat Model for GBAS based on GPS Data in China","authors":"Zhipeng Wang, Tinglin Li, Qiang Li, Yanbo Zhu","doi":"10.33012/2019.16865","DOIUrl":"https://doi.org/10.33012/2019.16865","url":null,"abstract":"","PeriodicalId":381025,"journal":{"name":"Proceedings of the 32nd International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+ 2019)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133565215","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}