Mobile and Wireless Positioning Technologies - Vasileios Zeimpekis, Panos E
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Model-Based System Engineering for Powertrain Systems Optimization Sandra Hamze
Model-based System Engineering for Powertrain Systems Optimization Sandra Hamze To cite this version: Sandra Hamze. Model-based System Engineering for Powertrain Systems Optimization. Automatic Control Engineering. Université Grenoble Alpes, 2019. English. NNT : 2019GREAT055. tel- 02524432 HAL Id: tel-02524432 https://tel.archives-ouvertes.fr/tel-02524432 Submitted on 30 Mar 2020 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. THÈSE pour obtenir le grade de DOCTEUR DE L’UNIVERSITÉ DE GRENOBLE ALPES Spécialité : Automatique-Productique Arrêté ministériel : 7 août 2006 Présentée par Sandra HAMZE Thèse dirigée par Emmanuel WITRANT et codirigée par Delphine BRESCH-PIETRI et Vincent TALON préparée au sein du laboratoire Grenoble Images Parole Signal Automatique (GIPSA-lab) dans l’école doctorale Electronique, Electrotechnique, Automatique, Traitement du Signal (EEATS) en collaboration avec Renault s.a.s Optimisation Multi-objectifs Inter-systèmes des Groupes Motopropulseurs Model-based System Engineering for Powertrain Systems Optimization 2 Thèse soutenue -
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. -
Construction of an Active Rectifier for a Transverse-Flux Wave Power Generator
EXAMENSARBETE INOM ELEKTROTEKNIK, AVANCERAD NIVÅ, 30 HP STOCKHOLM, SVERIGE 2017 Construction of an Active Rectifier for a Transverse-Flux Wave Power Generator OLOF BRANDT LUNDQVIST KTH SKOLAN FÖR ELEKTRO- OCH SYSTEMTEKNIK 1 Sammanfattning Vågkraft är en energikälla som skulle kunna göra en avgörande skillnad i om- ställningen mot en hållbar energisektor. Tillväxten för vågkraft har dock inte varit lika snabb som tillväxten för andra förnybara energislag, såsom vindkraft och solkraft. Vissa tekniska hinder kvarstår innan ett stort genombrott för våg- kraft kan bli möjligt. Ett hinder fram tills nu har varit de låga spänningarna och de resulterande höga effektförlusterna i många vågkraftverk. En ny typ av våg- kraftsgenerator, som har tagits fram av Anders Hagnestål vid KTH i Stockholm, avser att lösa dessa problem. I det här examensarbetet behandlas det effekte- lektroniska omvandlingssystemet för Anders Hagneståls generator. Det beskriver planerings- och konstruktionsprocessen för en enfasig AC/DC-omvandlare, som så småningom skall bli en del av det större omvandlingssystemet för generatorn. Ett kontrollsystem för omvandlaren, baserat på hystereskontroll för strömmen, planeras och sätts ihop. Den färdiga enfasomvandlaren visar goda resultat under drift som växelriktare. Dock kvarstår visst konstruktionsarbete och viss kalibre- ring av det digitala kontrollsystemet innan omvandlaren kan användas för sin uppgift i effektomvandlingen hos vågkraftverket. 2 2 Abstract Wave power is an energy source which could make a decisive difference in the transition towards a more sustainable energy sector. The growth of wave power production has however not been as rapid as the growth in other renewable energy fields, such as wind power and solar power. Some technical obstacles remain before a major breakthrough for wave power can be expected. -
The Governance of Galileo
The Governance of Galileo Report 62 January 2017 Amiel Sitruk Serge Plattard Short title: ESPI Report 62 ISSN: 2218-0931 (print), 2076-6688 (online) Published in January 2017 Editor and publisher: European Space Policy Institute, ESPI Schwarzenbergplatz 6 • 1030 Vienna • Austria http://www.espi.or.at Tel. +43 1 7181118-0; Fax -99 Rights reserved – No part of this report may be reproduced or transmitted in any form or for any purpose without permission from ESPI. Citations and extracts to be published by other means are subject to mentioning “Source: ESPI Report 62; January 2017. All rights reserved” and sample transmission to ESPI before publishing. ESPI is not responsible for any losses, injury or damage caused to any person or property (including under contract, by negligence, product liability or otherwise) whether they may be direct or indirect, special, incidental or consequential, resulting from the information contained in this publication. Design: Panthera.cc ESPI Report 62 2 January 2017 The Governance of Galileo Table of Contents Executive Summary 5 1. Introduction 7 1.1 Purposes, Principle and Current State of Global Navigation Satellite Systems (GNSS) 7 1.2 Description of Galileo 7 1.3 A Brief History of Galileo and Its Governance 9 1.4 Current State and Next Steps 10 2. The Challenges of Galileo Governance 12 2.1 Political Challenges 12 2.1.1 Giving to the EU and Its Member States an Effective Instrument of Sovereignty 12 2.1.2 Providing Effective Interaction between the European Stakeholders 12 2.1.3 Dealing with Security Issues Related to Galileo 13 2.1.4 Ensuring a Strong Presence on the International Scene 13 2.2 Economic Challenges 14 2.2.1 Setting up a Cost-Effective Organization 14 2.2.2 Fostering the Development of a Downstream Market Associated with Galileo 14 2.2.3 Fostering Indirect Benefits 15 2.3 Technical Challenges 15 2.3.1 Successfully Exploiting the System 15 2.3.2 Ensuring the Evolution of the System 16 2.3.3 Technically Enabling “GNSS Diplomacy” 16 3. -
AEN-88: the Global Positioning System
AEN-88 The Global Positioning System Tim Stombaugh, Doug McLaren, and Ben Koostra Introduction cies. The civilian access (C/A) code is transmitted on L1 and is The Global Positioning System (GPS) is quickly becoming freely available to any user. The precise (P) code is transmitted part of the fabric of everyday life. Beyond recreational activities on L1 and L2. This code is scrambled and can be used only by such as boating and backpacking, GPS receivers are becoming a the U.S. military and other authorized users. very important tool to such industries as agriculture, transporta- tion, and surveying. Very soon, every cell phone will incorporate Using Triangulation GPS technology to aid fi rst responders in answering emergency To calculate a position, a GPS receiver uses a principle called calls. triangulation. Triangulation is a method for determining a posi- GPS is a satellite-based radio navigation system. Users any- tion based on the distance from other points or objects that have where on the surface of the earth (or in space around the earth) known locations. In the case of GPS, the location of each satellite with a GPS receiver can determine their geographic position is accurately known. A GPS receiver measures its distance from in latitude (north-south), longitude (east-west), and elevation. each satellite in view above the horizon. Latitude and longitude are usually given in units of degrees To illustrate the concept of triangulation, consider one satel- (sometimes delineated to degrees, minutes, and seconds); eleva- lite that is at a precisely known location (Figure 1). If a GPS tion is usually given in distance units above a reference such as receiver can determine its distance from that satellite, it will have mean sea level or the geoid, which is a model of the shape of the narrowed its location to somewhere on a sphere that distance earth. -
Solving the Multilateration Problem Without Iteration
Article Solving the Multilateration Problem without Iteration Thomas H. Meyer 1 and Ahmed F. Elaksher 2,* 1 Department of Natural Resources and the Environment, College of Agriculture, Health, and Natural Resources, University of Connecticut, Storrs, CT 06269-4087, USA; [email protected] 2 Geomatics Program, College of Engineering, New Mexico State University, Las Cruces, NM 88003, USA * Correspondence: [email protected] Abstract: The process of positioning, using only distances from control stations, is called trilateration (or multilateration if the problem is over-determined). The observation equation is Pythagoras’s formula, in terms of the summed squares of coordinate differences and, thus, is nonlinear. There is one observation equation for each control station, at a minimum, which produces a system of simultaneous equations to solve. Over-determined nonlinear systems of simultaneous equations are typically solved using iterative least squares after forming the system as a truncated Taylor’s series, omitting the nonlinear terms. This paper provides a linearization of the observation equation that is not a truncated infinite series—it is exact—and, thus, is solved exactly, with full rigor, without iteration and, thus, without the need of first providing approximate coordinates to seed the iteration. However, there is a cost of requiring an additional observation beyond that required by the non-linear approach. The examples and terminology come from terrestrial land surveying, but the method is fully general: it works for, say, radio beacon positioning, as well. The approach can use slope distances directly, which avoids the possible errors introduced by atmospheric refraction into the zenith-angle observations needed to provide horizontal distances. -
Part V: the Global Positioning System ______
PART V: THE GLOBAL POSITIONING SYSTEM ______________________________________________________________________________ 5.1 Background The Global Positioning System (GPS) is a satellite based, passive, three dimensional navigational system operated and maintained by the Department of Defense (DOD) having the primary purpose of supporting tactical and strategic military operations. Like many systems initially designed for military purposes, GPS has been found to be an indispensable tool for many civilian applications, not the least of which are surveying and mapping uses. There are currently three general modes that GPS users have adopted: absolute, differential and relative. Absolute GPS can best be described by a single user occupying a single point with a single receiver. Typically a lower grade receiver using only the coarse acquisition code generated by the satellites is used and errors can approach the 100m range. While absolute GPS will not support typical MDOT survey requirements it may be very useful in reconnaissance work. Differential GPS or DGPS employs a base receiver transmitting differential corrections to a roving receiver. It, too, only makes use of the coarse acquisition code. Accuracies are typically in the sub- meter range. DGPS may be of use in certain mapping applications such as topographic or hydrographic surveys. DGPS should not be confused with Real Time Kinematic or RTK GPS surveying. Relative GPS surveying employs multiple receivers simultaneously observing multiple points and makes use of carrier phase measurements. Relative positioning is less concerned with the absolute positions of the occupied points than with the relative vector (dX, dY, dZ) between them. 5.2 GPS Segments The Global Positioning System is made of three segments: the Space Segment, the Control Segment and the User Segment. -
Wi-Fi- Based Indoor Positioning System Using Smartphones
IoT Wi-Fi- based Indoor Positioning System Using Smartphones Author: Suyash Gupta Abstract The demand for Indoor Location Based Services (LBS) is increasing over the past years as smartphone market expands. There's a growing interest in developing efficient and reliable indoor positioning systems for mobile devices. Smartphone users can get their fixed locations according to the function of the GPS receiver. This is the primary reason why there is a huge demand for real-time location information of mobile users. However, the GPS receiver is often not effective in indoor environments due to signal attenuation, even as the major positioning devices have a powerful accuracy for outdoor positioning. Using Wi-Fi signal strength for fingerprint-based approaches attract more and more attention due to the wide deployment of Wi-Fi access points or routers. Indoor positioning problem using Wi-Fi signal fingerprints can be viewed as a machine-learning task to be solved mathematically. This whitepaper proposes an efficient and reliable Wi-Fi real-time indoor positioning system using fingerprinting algorithm. The proposed positioning system comprises of an Android App equipped with the same algorithms, which is tested and evaluated in multiple indoor scenarios. Simulation and testing results show that the proposed system is a feasible LBS solution. © Talentica Software (I) Pvt Ltd. 2018 Contents 1. Introduction 3 2. Indoor Positioning Systems 4 2.1 Indoor Positioning Techniques 5 2.1.1 Trilateration method 7 2.1.2 Fingerprinting method 7 3. Exploring Fingerprinting method 8 3.1 Calibration Phase 8 3.2 Positioning Phase 11 3.2.1 Deterministic algorithm 12 3.2.2 Probabilistic algorithm 13 3.3 Fingerprint Positioning Vs. -
[email protected] University of Pittsburgh Web : Pittsburgh, PA 15260 Office : 412.624.8924, Fax : 412.624.8854
PANOS K. CHRYSANTHIS Department of Computer Science E-Mail : [email protected] University of Pittsburgh Web : http://panos.cs.pitt.edu Pittsburgh, PA 15260 Office : 412.624.8924, Fax : 412.624.8854 RESEARCH INTERESTS Management of Data (Big Data, Databases, Web Databases, Data Streams & Sensor networks), Cloud, Distributed & Mobile Computing, Workflow Management, Operating & Real-time Systems EDUCATION Ph.D. in Computer and Information Science, University of Massachusetts, Amherst, August 1991 M.S. in Computer and Information Science, University of Massachusetts, Amherst, May 1986 B.S. in Physics (Computer Science concentration), University of Athens, Greece, December 1982 APPOINTMENTS Professor, Dept. of Computer Science (Joint-Secondary appointment in Electrical Engineering and the Telcomm Program), University of Pittsburgh (Jan. 2004 to present). Adjunct Professor, Dept. of Computer Science, Carnegie-Mellon University (Aug. 2000 to present). Faculty member, Computational Biology PhD Program, University of Pittsburgh and Carnegie-Mellon University (Sept. 2004 to present). Adjunct Professor, Dept. of Computer Science, University of Cyprus, Cyprus (Jan. 2008 to Dec. 2016, Jan. 2018 to present). Visiting Professor, Laboratory of Information, Networking and Communication Sciences (LINCS), Paris, France (Feb. 2019 to Mar. 2019) Visiting Professor, Dept. of Computer Science, University of Cyprus, Cyprus (Aug. 2006 to June 2007, May 2016, June 2018 June 2019). Visiting Professor, Dept. of Computer Science, Carnegie Mellon University, Pittsburgh (Aug. 1999 to Aug. 2000; Dec. 2014 to Aug. 2015) Faculty Member, RODS Laboratory, Center for Biomedical Informatics, University of Pittsburgh (May 2002 to Aug. 2006). Associate Professor, Dept. of Computer Science (Joint-Secondary appointment in Electrical Engineering), University of Pittsburgh (Sept. 1997 to Dec. -
Calibration of Multilateration Positioning Systems Via Nonlinear Optimization
DEGREE PROJECT, IN OPTIMIZATION AND SYSTEMS THEORY , SECOND LEVEL STOCKHOLM, SWEDEN 2015 Calibration of Multilateration Positioning Systems via Nonlinear Optimization SEBASTIAN BREMBERG KTH ROYAL INSTITUTE OF TECHNOLOGY SCI SCHOOL OF ENGINEERING SCIENCES Calibration of Multilateration Positioning Systems via Nonlinear Optimization SEBASTIAN BREMBERG Master’s Thesis in Optimization and Systems Theory (30 ECTS credits) Master Programme in Applied and Computational Mathematics (120 credits) Royal Institute of Technology year 2015 Supervisor at Ericsson: Daniel Henriksson Supervisor at KTH: Johan Karlsson Examiner: Johan Karlsson TRITA-MAT-E 2015:62 ISRN-KTH/MAT/E--15/62--SE Royal Institute of Technology SCI School of Engineering Sciences KTH SCI SE-100 44 Stockholm, Sweden URL: www.kth.se/sci Kalibrering av System f¨or Multilaterations Positionerssystem genom Icke-linj¨ar Optimering ” Sammanfattning I denna masteruppsats utv¨arderas en metod syftande till att f¨orb¨attra noggran- nheten i den funktion som positionerar sensorer i ett tr˚adl¨ost transmissionsn¨atverk. Den positioneringsmetod som har legat till grund f¨or analysen ¨ar TDOA (Time Dif- ference of Arrival), en multilaterations-teknik som baseras p˚am¨atning av tidsskillnaden av en radiosignal fr˚an tv˚arumsligt separerade och synkrona transmittorer till en mottagande sensor. Metoden syftar till att reducera positioneringsfel som orsakats av att de ursprungliga positionsangivelserna varit felaktiga samt synkroniserings- fel i n¨atet. F¨or rekalibrering av transmissionsn¨atet anv¨ands redan k¨anda sensor- positioner. Detta uppn˚as genom minimering av skillnaden mellan signalbaserade TDOA-m¨atningar fr˚an systemet och uppskattade TDOA-m˚att vilka erh˚allits genom ber¨akningar av en given sensorposition baserat p˚aoptimering via en ickelinj¨ar minstakvadratanpassning. -
A Smart Phone Based Multi-Floor Indoor Positioning System for Occupancy Detection
A Smart Phone based Multi-Floor Indoor Positioning System for Occupancy Detection Md Shadab Mashuk Peer Olaf Siebers Nottingham Geospatial Institute School of Computer Science University of Nottingham University of Nottingham Nottingham, United Kingdom Nottingham, United Kingdom [email protected] [email protected] James Pinchin Terry Moore Horizon Digital Economy Research Nottingham Geospatial Institute University of Nottingham University of Nottingham Nottingham, United Kingdom Nottingham, United Kingdom james.pinchin @nottingham.ac.uk [email protected] Abstract— At present there is a lot of research being done I. INTRODUCTION simulating building environment with artificial agents and predicting energy usage and other building performance related The energy demand and performance of a building depends factors that helps to promote understanding of more sustainable on the behavior of occupants engaged in various activities. To buildings. To understand these energy demands it is important to understand these energy demands it is important to understand understand how the building spaces are being used by individuals how the building spaces are being used by individuals i.e. the i.e. the occupancy pattern of individuals. There are lots of other occupancy pattern of individuals. There has been previous sensors and methodology being used to understand building work in detecting occupancy of building users using PIR occupancy such as PIR sensors, logging information of Wi-Fi APs sensors or ambient sensors. The major shortcoming of the or ambient sensors such as light or CO2 composition. Indoor previous methods is the sensors limitation in detecting presence positioning can also play an important role in understanding and absence of individual occupants in the room only.