Global Navigation Satellite System (GNSS)
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GLONASS System As a Tool for Space Weather Monitoring
GLONASS System as a tool for space weather monitoring V.V. Alpatov, S.N. Karutin, А.Yu. Repin Institute of Applied Geophysics, Roshydromet TSNIIMASH, Roscosmos BAKU-2018 PLAN OF PRESENTATION General information about GLONASS Goals Organization and Management Technical information about GLONASS Space Weather Effects On Space Systems On Ground based Systems Possible Opportunities of GLONASS for Monitoring Space Weather Effects Russian Monitoring System for Monitoring Space Weather Effects with Use Opportunities of GLONASS 2 GENERAL INFORMATION ABOUT GLONASS NATIONAL SATELLITE NAVIGATION POLICY AND ORGANIZATION Presidential Decree of May 17, 2007 No. 638 On Use of GLONASS (Global Navigation Satellite System) for the Benefit of Social and Economic Development of the Russian Federation Federal Program on GLONASS Sustainment, Development and Use for 2012-2020 – planning and budgeting instrument for GLONASS development and use Budget planning for the forthcoming decade – up to 2030 GLONASS Program governance: Roscosmos State Space Corporation Government Contracting Authority – Program Coordinator Government Contracting Authorities Program Scientific and Coordination Board GLONASS Program Goals: Improving GLONASS performance – its accuracy and integrity Ensuring positioning, navigation and timing solutions in restricted visibility of satellites, interference and jamming conditions Enhancing current application efficiency and broadening application domains 3 CHARACTERISTICS IMPROVEMENT PLAN Accuracy Improvement by means of: . Ground Segment -
GLONASS Interface Control Document Specifies Parameters of Interface Between GLONASS Space Segment and User Equipment
GLOBALNAVIGATION SATELLITE SYSTEM GLONASS TION CENTER INTERFACE CONTROL DOCUMENT COORDINATION SCIENTIFIC INFORMA MOSCOW 1998ã. Version 4.0 1998 GLONASS ICD COORDINATION SCIENTIFIC INFORMATION CENTER TABLE OF CONTENTS FIGURES................................................................................................................................................................... 2 TABLES .................................................................................................................................................................... 3 ABBREVIATIONS.................................................................................................................................................... 4 1. INTRODUCTION ................................................................................................................................................. 5 1.1 GLONASS PURPOSE.......................................................................................................................................... 5 1.2 GLONASS COMPONENTS .................................................................................................................................. 5 1.3 NAVIGATION DETERMINATION CONCEPT ............................................................................................................. 5 2. GENERAL............................................................................................................................................................. 6 2.1 ICD DEFINITION ............................................................................................................................................... -
GPS and GLONASS Vector Tracking for Navigation in Challenging Signal Environments
GPS and GLONASS Vector Tracking for Navigation in Challenging Signal Environments Tanner Watts, Scott Martin, and David Bevly GPS and Vehicle Dynamics Lab – Auburn University October 29, 2019 2 GPS Applications (GAVLAB) Truck Platooning Good GPS Signal Environment Autonomous Vehicles Precise Timing UAVs 3 Challenging Signal Environments • Navigation demand increasing in the following areas: • Cites/Urban Areas • Forests/Dense Canopies • Blockages (signal attenuation) • Reflections (multipath) 4 Contested Signal Environments • Signal environment may experience interference • Jamming . Transmits “noise” signals to receiver . Effectively blocks out GPS • Spoofing . Transmits fake GPS signals to receiver . Tricks or may control the receiver 5 Contested Signal Environments • These interference devices are becoming more accessible GPS Jammers GPS Simulators 6 Traditional GPS Receiver Signals processed individually: • Known as Scalar Tracking • Delay Lock Loop (DLL) for Code • Phase Lock Loop (PLL) for Carrier 7 Traditional GPS Receiver • Feedback loops fail in the presence of significant noise • Especially at high dynamics Attenuated or Distorted Satellite Signal 8 Vector Tracking Receiver • Process signals together through the navigation solution • Channels track each other’s signals together • 2-6 dB improvement • Requires scalar tracking initially 9 Vector Tracking Receiver Vector Delay Lock Loop (VDLL) • Code tracking coupled to position navigation • DLL discriminators inputted into estimator • Code frequencies commanded by predicted pseudoranges -
Mapping Spatiotemporal Data to RDF: a SPARQL Endpoint for Brussels
International Journal of Geo-Information Article Mapping Spatiotemporal Data to RDF: A SPARQL Endpoint for Brussels Alejandro Vaisman 1, * and Kevin Chentout 2 1 Instituto Tecnológico de Buenos Aires, Buenos Aires 1424, Argentina 2 Sopra Banking Software, Avenue de Tevuren 226, B-1150 Brussels, Belgium * Correspondence: [email protected]; Tel.: +54-11-3457-4864 Received: 20 June 2019; Accepted: 7 August 2019; Published: 10 August 2019 Abstract: This paper describes how a platform for publishing and querying linked open data for the Brussels Capital region in Belgium is built. Data are provided as relational tables or XML documents and are mapped into the RDF data model using R2RML, a standard language that allows defining customized mappings from relational databases to RDF datasets. In this work, data are spatiotemporal in nature; therefore, R2RML must be adapted to allow producing spatiotemporal Linked Open Data.Data generated in this way are used to populate a SPARQL endpoint, where queries are submitted and the result can be displayed on a map. This endpoint is implemented using Strabon, a spatiotemporal RDF triple store built by extending the RDF store Sesame. The first part of the paper describes how R2RML is adapted to allow producing spatial RDF data and to support XML data sources. These techniques are then used to map data about cultural events and public transport in Brussels into RDF. Spatial data are stored in the form of stRDF triples, the format required by Strabon. In addition, the endpoint is enriched with external data obtained from the Linked Open Data Cloud, from sites like DBpedia, Geonames, and LinkedGeoData, to provide context for analysis. -
Comparing Four Methods of Correcting GPS Data: DGPS, WAAS, L-Band, and Postprocessing Dick Karsky, Project Leader
United States Department of Agriculture Engineering Forest Service Technology & Development Program July 2004 0471-2307–MTDC 2200/2300/2400/3400/5100/5300/5400/ 6700/7100 Comparing Four Methods of Correcting GPS Data: DGPS, WAAS, L-Band, and Postprocessing Dick Karsky, Project Leader he global positioning system (GPS) of satellites DGPS Beacon Corrections allows persons with standard GPS receivers to know where they are with an accuracy of 5 meters The U.S. Coast Guard has installed two control centers Tor so. When more precise locations are needed, and more than 60 beacon stations along the coastal errors (table 1) in GPS data must be corrected. A waterways and in the interior United States to transmit number of ways of correcting GPS data have been DGPS correction data that can improve GPS accuracy. developed. Some can correct the data in realtime The beacon stations use marine radio beacon fre- (differential GPS and the wide area augmentation quencies to transmit correction data to the remote GPS system). Others apply the corrections after the GPS receiver. The correction data typically provides 1- to data has been collected (postprocessing). 5-meter accuracy in real time. In theory, all methods of correction should yield similar In principle, this process is quite simple. A GPS receiver results. However, because of the location of different normally calculates its position by measuring the time it reference stations, and the equipment used at those takes for a signal from a satellite to reach its position. stations, the different methods do produce different Because the GPS receiver knows exactly where results. -
Robotic Forest Harvesting Process Using GNSS
RNI: DELENG/2005/15153 No: DL(E)-01/5079/17-19 Publication: 15th of every month Licensed to post without pre-payment U(E) 28/2017-19 Posting: 19th/20th of every month at NDPSO Rs.150 ISSN 0973-2136 Volume XV, Issue 5, May 2019 THE MONTHLY MAGAZINE ON POSITIONING, NAVIGATION AND BEYOND Robotic forest harvesting process using GNSS Soil moisture retrieval using NavIC-GPS-SBAS receiver Rethinking asset management. At 172 megapixels per full-spherical image, the UltraCam Panther Reality Capture System lets you capture your production plant in more detail, with superior sharpness and in higher fidelity than ever before. ULTRACAM PANTHER KEY FEATURES Indoor and outdoor Multitude of use Easy to deploy, mapping even cases through operate and without GPS modular design maintain Discover more on www.vexcel-imaging.com i50 GNSS RTK Brings speed and accuracy in Rethinking one easy-to-use GNSS solution asset management. At 172 megapixels per full-spherical image, the UltraCam Panther Reality Capture System lets you capture your production plant in more detail, with superior sharpness and in higher fidelity than ever before. ULTRACAM PANTHER KEY FEATURES Full GNSS technology Extended connectivity GPS+Glonass+Beidou+Galileo Internal UHF and 4G modems for robust data quality for optimized field operations Indoor and outdoor Multitude of use Easy to deploy, mapping even cases through operate and Preset work modes Rugged and compact without GPS modular design maintain Select configurations in a few Industrial design to withstand seconds for higher productivity -
Geodesy in the 21St Century
Eos, Vol. 90, No. 18, 5 May 2009 VOLUME 90 NUMBER 18 5 MAY 2009 EOS, TRANSACTIONS, AMERICAN GEOPHYSICAL UNION PAGES 153–164 geophysical discoveries, the basic under- Geodesy in the 21st Century standing of earthquake mechanics known as the “elastic rebound theory” [Reid, 1910], PAGES 153–155 Geodesy and the Space Era was established by analyzing geodetic mea- surements before and after the 1906 San From flat Earth, to round Earth, to a rough Geodesy, like many scientific fields, is Francisco earthquakes. and oblate Earth, people’s understanding of technology driven. Over the centuries, it In 1957, the Soviet Union launched the the shape of our planet and its landscapes has developed as an engineering discipline artificial satellite Sputnik, ushering the world has changed dramatically over the course because of its practical applications. By the into the space era. During the first 5 decades of history. These advances in geodesy— early 1900s, scientists and cartographers of the space era, space geodetic technolo- the study of Earth’s size, shape, orientation, began to use triangulation and leveling mea- gies developed rapidly. The idea behind and gravitational field, and the variations surements to record surface deformation space geodetic measurements is simple: Dis- of these quantities over time—developed associated with earthquakes and volcanoes. tance or phase measurements conducted because of humans’ curiosity about the For example, one of the most important between Earth’s surface and objects in Earth and because of geodesy’s application to navigation, surveying, and mapping, all of which were very practical areas that ben- efited society. -
Mobile Positioning in Cellular Networks Yogesh S
International Journal of Trend in Research and Development, Volume 3(5), ISSN: 2394-9333 www.ijtrd.com Mobile Positioning in Cellular Networks Yogesh S. Tippe and Pramila S. Shinde Information Technology Department, Shah & Anchor Kutchhi Engineering College, Mumbai, India Abstract- Over the past few decades, Mobile Communication have become important in humans life. The use of mobiles is increased and access to information has become requirement. The increased demand for the information access has created a huge potential for opportunities and it has promoted the innovation towards the development of new technologies. Furthermore, with the fast development of mobile communication networks, positioning information becomes the great interest, because positioning information can be used in emergencies, rescues and navigation. In this paper, a comparative analysis of positioning techniques is presented. Some of the technologies that are used commonly are discussed in this paper. Figure 1 Classification of Mobile Positioning Techniques Keywords: Angle of Arrival, Time of Arrival, Time Difference of Arrival, Assisted GPS, Global Positioning System, Cell Identity, II. TECHNOLOGIES Location, Positioning. A. Handset based Mobile Positioning I. INTRODUCTION In this technique the handset participates in the position Wireless communication is among technologies biggest determination. The location of the mobile phone can be contribution to mankind. Wireless communication involves the determined using client software installed on the handset. This transmission of information over a distance without any wires or technique determines the location of handset by putting its cables. Now a days Position estimation with communication location by cell identification, signal strength of the home and technologies is hot topic to research. -
Accurate Location Detection 911 Help SMS App
System and method that allows for cost effective location detection accuracy that exceeds current FCC standards. Accurate Location Detection 911 Help SMS App White Paper White Paper: 911 Help SMS App 1 Cost Effective Location Detection Techniques Used by the 911 Help SMS App to Overcome Smartphone Flaws and GPS Discrepancies Minh Tran, DMD Box 1089 Springfield, VA 22151 Phone: (267) 250-0594 Email: [email protected] Introduction As of April 2015, approximately 64% of Americans own smartphones. Although there has been progress with E911 and NG911, locating cell phone callers remains a major obstacle for 911 dispatchers. This white papers gives an overview of techniques used by the 911 Help SMS App to more accurately locate victims indoors and outdoors when using smartphones. Background Location information is not only transmitted to the call center for the purpose of sending emergency services to the scene of the incident, it is used by the wireless network operator to determine to which PSAP to route the call. With regards to E911 Phase 2, wireless network operators must provide the latitude and longitude of callers within 300 meters, within six minutes of a request by a PSAP. To locate a mobile telephone geographically, there are two general approaches. One is to use some form of radiolocation from the cellular network; the other is to use a Global Positioning System receiver built into the phone itself. Radiolocation in cell phones use base stations. Most often this is done through triangulation between radio towers. White Paper: 911 Help SMS App 2 Problem GPS accuracy varies and could incorrectly place the victim’s location at their neighbor’s home. -
Solar Radiation Pressure Models for Beidou-3 I2-S Satellite: Comparison and Augmentation
remote sensing Article Solar Radiation Pressure Models for BeiDou-3 I2-S Satellite: Comparison and Augmentation Chen Wang 1, Jing Guo 1,2 ID , Qile Zhao 1,3,* and Jingnan Liu 1,3 1 GNSS Research Center, Wuhan University, 129 Luoyu Road, Wuhan 430079, China; [email protected] (C.W.); [email protected] (J.G.); [email protected] (J.L.) 2 School of Engineering, Newcastle University, Newcastle upon Tyne NE1 7RU, UK 3 Collaborative Innovation Center of Geospatial Technology, Wuhan University, 129 Luoyu Road, Wuhan 430079, China * Correspondence: [email protected]; Tel.: +86-027-6877-7227 Received: 22 December 2017; Accepted: 15 January 2018; Published: 16 January 2018 Abstract: As one of the most essential modeling aspects for precise orbit determination, solar radiation pressure (SRP) is the largest non-gravitational force acting on a navigation satellite. This study focuses on SRP modeling of the BeiDou-3 experimental satellite I2-S (PRN C32), for which an obvious modeling deficiency that is related to SRP was formerly identified. The satellite laser ranging (SLR) validation demonstrated that the orbit of BeiDou-3 I2-S determined with empirical 5-parameter Extended CODE (Center for Orbit Determination in Europe) Orbit Model (ECOM1) has the sun elongation angle (# angle) dependent systematic error, as well as a bias of approximately −16.9 cm. Similar performance has been identified for European Galileo and Japanese QZSS Michibiki satellite as well, and can be reduced with the extended ECOM model (ECOM2), or by using the a priori SRP model to augment ECOM1. In this study, the performances of the widely used SRP models for GNSS (Global Navigation Satellite System) satellites, i.e., ECOM1, ECOM2, and adjustable box-wing model have been compared and analyzed for BeiDou-3 I2-S satellite. -
Gnss and Avionics Simulation for Rohde & Schwarz Signal Generators
GNSS AND AVIONICS SIMULATION FOR ROHDE & SCHWARZ SIGNAL GENERATORS Specifications R&S®SMBV100B Vector Signal Generator R&S®SMW200A Vector Signal Generator Data Sheet Version 11.00 Version 11.00, February 2021 CONTENTS Definitions ....................................................................................................................................................................... 4 Overview .......................................................................................................................................................................... 5 Abbreviations ..................................................................................................................................................................................... 6 GNSS testing with the R&S®SMW200A ............................................................................................................................................. 6 Minimum instrument configuration for GNSS testing .......................................................................................................................... 7 Minimum instrument configuration for avionics testing ....................................................................................................................... 7 Global navigation satellite systems (GNSS) ................................................................................................................. 8 Addressed GNSS applications .......................................................................................................................................................... -
A Review of Openstreetmap Data Peter Mooney* and Marco Minghini† *Department of Computer Science, Maynooth University, Maynooth, Co
CHAPTER 3 A Review of OpenStreetMap Data Peter Mooney* and Marco Minghini† *Department of Computer Science, Maynooth University, Maynooth, Co. Kildare, Ireland, [email protected] †Department of Civil and Environmental Engineering, Politecnico di Milano, Piazza Leonardo da Vinci 32, 20133 Milano, Italy Abstract While there is now a considerable variety of sources of Volunteered Geo- graphic Information (VGI) available, discussion of this domain is often exem- plified by and focused around OpenStreetMap (OSM). In a little over a decade OSM has become the leading example of VGI on the Internet. OSM is not just a crowdsourced spatial database of VGI; rather, it has grown to become a vast ecosystem of data, software systems and applications, tools, and Web-based information stores such as wikis. An increasing number of developers, indus- try actors, researchers and other end users are making use of OSM in their applications. OSM has been shown to compare favourably with other sources of spatial data in terms of data quality. In addition to this, a very large OSM community updates data within OSM on a regular basis. This chapter provides an introduction to and review of OSM and the ecosystem which has grown to support the mission of creating a free, editable map of the whole world. The chapter is especially meant for readers who have no or little knowledge about the range, maturity and complexity of the tools, services, applications and organisations working with OSM data. We provide examples of tools and services to access, edit, visualise and make quality assessments of OSM data. We also provide a number of examples of applications, such as some of those How to cite this book chapter: Mooney, P and Minghini, M.