I Hybrid Gps /Loran-C :

Total Page:16

File Type:pdf, Size:1020Kb

I Hybrid Gps /Loran-C : I HYBRID GPS /LORAN-C : ,. -- " A NEXT-GENERATION OF SOLE MEANS AIR NAVIGATION A Dissertation Presented to The Faculty of the College of Engineering and Technology Ohio University In Partial Fulfillment of the Requirements for the Degree Docror of Philosophy Frank van Graas - ?. I November, 1988 This dissertation has been approved for the Department of Electrical and Computer Engineering and the College of Engineering and Technology /'-'\ /'-'\ / / Prdiessor of Elec~rice; a1' h Computer ingineering 1' Dean of the College of Engineering and Technology ACKNOWLEDGEMENTS The work presented in this dissertation was funded in part by the Federal Aviation Administration and NASA Langley Research Center under the Joint University Program in Air Transportation Systems under Grant NGR-009-017. Additional funding was obtained from the Federal Aviation Administration under Contract DTRS-57-87-C-00006, TTD-13, and NASA Ames Research Center under Contract NAS2-11969. The author is indebted to Dr. Richard H. McFarland, Director of the Avionics Engineering Center at Ohio University and Director of this dissertation, and Dr. Robert W. Lilley, Deputy Director of the Avionics Engineering Center, for their valuable suggestions and remarks. The author also wishes to acknowledge the following individuals for their assistance and contributions to this work: Dr. Jerrel R. Mitchell, Chairman of Electrical and Computer Engineering, Dr. Herman W. Hill, Associate Professor of Electrical and Computer Engineering, Dr. John. A. Tague, Assistant Professor of Electrical and Computer Engineering, and Dr. Donald 0. Norris, Professor of Mathematics, for reviewing this document and serving as members of the Dissertation Committee. Mr. William L. Polhemus, Polhemus Associates, Inc. , for many helpful conversations and his active support for hybrid GPS/LORAN-C. Dr. Per K. Enge, Assistant Professor of Electrical Engineering at Worcester Polytechnic Institute, for his enthusiasm and valuable remarks. Mr. Richard L. Zoulek, Chief Avionics Airborne Facilities, for his assistance with the airborne equipment installation. Mr. James D. Waid and Mr. Paul A. Kline, undergraduate students at Ohio University have assisted me with the data collection and the simula- tion models. TABLE OF CONTENTS PAGE ACKNOWLEDGEMENTS i List of Figures vi List of Tables ix 1. INTRODUCTION 1 2. OVERVIEW OF GPS AND LORAN-C 5 2.1 Historical Perspective 5 2.2 The Long Range Navigation System LORAN-C G 2.3 The NAVSTAR Global Positioning System (GPS) 13 3. AIR NAVIGATION SYSTEM REQUIREMENTS 17 4. THE CONCEPT OF MULTISENSOR AND HYBRID AIR NAVIGATION 2 4 SYSTEMS 4.1 Hybrid Navigation Systems 4.2 Hybrid Systems Based on Long-Term and Short-Term Stability Sensors 4.3 Hybrid Systems Based on Sensors with Similar Performance 5. GPSILORAN-C INTEROPERABILITY 5.1 GPS/LORAN-C System Integration 5.1.1 GPS Timing 5.1.2 LORAN-C Timing 5.1.2.1 Current LORAN-C Timing 5.1.2.2 Master Station Time of Transmission Control 5.1.2.3 Time of Transmission Control for all LORAN-C Stations 5.1.2.4 Determination of LORAN-C Transmitter Offset with Respect to GPS Time TABLE OF CONTENTS (Continued) 5.2 Airborne Equipment 5.2.1 Hybrid GPS/LORAN-C Receiver Concepts 5.2.2 Hardware Implementation Concepts GPSILORAN-C PERFORMANCE CAPABILITIES 6.1 LORAN-C Coverage, Reliability, and Availability 6.1.1 LORAN-C Pseudorange Coverage Prediction Model 6.1.2 Signal-to-Noise Ratio Calculation 6.1.3 Horizontal Dilution of Precision Calculation 6.1.4 Predicted LORAN-C Pseudorange Coverage Results 6.1.5 LORAN-C Reliability and Availability 6.1.5.1 LORAN-C Failure Data 6.1.5.2 LORAN-C Markov Model for Four- Transmitter Availability 6.2 GPS Coverage, Reliability, and Availability 6.2.1 GPS Coverage 6.2.2 GPS Coverage Prediction Computer Model 6.2.3 Predicted GPS Coverage Results 6.2.4 GPS Reliability and Availability 6.3 Hybrid GPSILORAN-C Coverage, Reliability, and Availability 6.3.1 Hybrid GPS/LORAN-C Coverage 6.3.2 Predicted Hybrid GPSILORAN-C Coverage 6.3.3 Hybrid GPS/LORAN-C Reliability and Availability TABLE OF CONTENTS (Continued) 7. HYBRID GPSILORAN-C NAVIGATION SOLUTION 101 7.1 Consolidated Statement of Navigation Solution 101 Philosophy 7.2 Hybrid GPSILORAN-C Measurement Equations and 104 Error L4odels 7.3 Hybrid GPSILORAN-C Navigation Equations 107 7.4 Range Domain Filtering 114 7.5 Receiver Autonomous Integrity Monitoring (RAIM) 117 7.5.1 GPS and LORAN-C System Integrity 118 7.5.2 RAIM for Hybrid GPS/LORAN-C 7.6 Computer Simulation Results 8. GPSILORAN-C STATIC EXPERIMENT 132 8.1 Description of the Static GPS/LORAN-C Experiment 132 8.2 Static Test Results 135 9. DIFFERENTIAL GPS TRUTH REFERENCE SYSTEM 139 9.1 Description of the Differential GPS Reference System 140 9.2 Differential Test Results (Static) 10. GPS/LORAN-C FLIGHT EXPERIMENT 10.1 Data Processing for the Dynamic GPS/LORAN-C Experiment 10.2 Dynamic Test Results 11. CONCLUSIONS 12. RECOtTMENDATIONS 13. REFERENCES ABSTRACT LIST OF FIGURES Figure 2.1 LORAN-C pulse shape and chain transmissions 7 (from reference [14]). Figure 2.2 LORAN-C hyperbolic and pseudorange positioning. 10 Figure 5.1 Separated (a) and hybridized (b) GPSILORAN-C 40 functional block diagrams. Figure 5.2 Functional block diagram of a generic, hybrid 43 navigation receiver. Figure 6.1 LORAN-C ranging geometry for a receiver at 50 sea-level. Figure 6.2 LORAN-C transmitter locations with the "mid-continent gap" filled. Figure 6.3 Predicted LORAN-C pseudorange coverage with 56 the "mid-continent gap" filled for three or more stations (0.25 nm). Figure 6.4 Predicted LORAN-C pseudorange coverage with 5 7 the "mid-continent gap" filled for three or more stations (0.125 nm). Figure 6.5 Predicted LORAN-C pseudorange coverage with the "mid-continent gap" filled for four or more stations (0.25 nm). Figure 6.6 Predicted LORAN-C pseudorange coverage with the "mid-continent gap" filled, simulated Baudette failure (top) and Middletown (bottom). Figure 6.7 Markov model for the determination of the 64 time-dependent availability of four LORAN-C transmitters. Figure 6.8 The stochastic transitional probability matrix P 66 for the four-transmitter Markov model. Figure 6.9 GPS phasing diagrams for the symmetrical 7 1 21-satellite baseline constellation (top) and the Optimal 21-satellite constellation (bottom). Figure 6.10 GPS phasing diagram for the Primary 21-satellite 74 constellation (24 satellites, reference [89]). LIST OF FIGURES (Continued) Figure 6.11 Degraded GPS coverage for the symmetrical 7 7 21-satellite baseline constellation accumulated over one day. Figure 6.12 Degraded GPS coverage for the symmetrical 79 21-satellite baseline constellation with one simulated satellite failure, accumulated over one day. Figure 6.13 Degraded GFS coverage for the Primary 21-satellite constellation with two simulated satellite failures, accumulated over one day. Figure 6.14 Markov model for the determination of the 83 time-dependent availability of the 21 and 24-satellite GPS constellations. Figure 6.15 GPS time-dependent state probabilities for a 87 21-satellite constellation, parameterized with respect to short-term and long-term MTTFs and MTTRs . Figure 6.16 Horizontal Dilution of Precision (HDOP) for 92 hybrid GPSILORAN-C. Figure 6.17 Markov model for the determination of the time- 96 dependent availability of hybrid GPSILORAN-C. Figure 7.1 GPS ranging geometry. 105 Figure 7.2 Example of Receiver Autonomous Integrity 121 Monitoring (R4IM) in the position domain (from reference [127]. Figure 7.3 Block diagram of the computer simulation for 125 the evaluation of the hybrid GPSILORAN-C navigation algorithms. Figure 7.4 Number of iterations required by the navigation 127 solution as a function of the radial distance between the true and estimated positions. Figure 7.5 Frequency distribution of the integrity parameter. Figure 7.6 Radial position error and the integrity 130 parameter for the hybrid solution with a bias of 1000 meters added to one of the GFS pseudoranges. LIST OF FIGURES (Continued) Figure 8.1 Block diagram of the GPS/LORAN-C hardware used 133 for the static experiment. Figure 8.2 GPSILORAN-C equipment used for the static test. 134 Figure 8.3 Static GPS/LORAN-C data processing block 136 diagram. Figure 8.4 Static, two-dimensional position errors for GPS, 135 LORAN-C, and hybrid GPS/LORAN-C. Figure 9.1 Differential GPS reference station equipment. 142 Figure 9.2 Unfiltered differential range corrections from 143 the sequential GPS receiver (ST1 TTS-502B) with a high-quality reference oscillator. Figure 9.3 Unfiltered and filtered differential correc- 144 tions for each satellite (SV) tracked by the sequential GPS receiver. Figure 9.4 Static Differential GPS validation processing. 146 Figure 9.5 Differential range corrections for the reference 145 and user GPS receivers (top), and two- dimensional GPS and DGPS position errors for the user receiver (middle and bottom). Figure 9.6 DGPS reference station antenna and nearby roof 150 structure, which causes multipath errors. Figure 10.1 Overview of the hybrid GPS/LORAN-C flight 152 experiment equipment with a Differential GPS truth reference system. Figure 10.2 Piper Saratoga aircraft, N8238C, used for the 153 in-fligh~evaluation of hybrid GPS/LORAN-C. Figure 10.3 Hybrid GPS/LORAN-C data processing with a 154 Differential GPS truth reference system. Figure 10.4 Differential GPS ground track for a 70 minutes 15 7 hybrid GPS/LORAN-C test flight in the vicinity of Ohio University airport. Figure 10.5 'RJo-dimensionalposition errors for the hybrid 159 GPS/LORAN-C receiver. LIST OF TABLES Table 3.1 Current and future navigation system accuracy 18 requirements for specific phases of flight in the conterminous United States.
Recommended publications
  • 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.
    [Show full text]
  • Electronic Warfare Fundamentals
    ELECTRONIC WARFARE FUNDAMENTALS NOVEMBER 2000 PREFACE Electronic Warfare Fundamentals is a student supplementary text and reference book that provides the foundation for understanding the basic concepts underlying electronic warfare (EW). This text uses a practical building-block approach to facilitate student comprehension of the essential subject matter associated with the combat applications of EW. Since radar and infrared (IR) weapons systems present the greatest threat to air operations on today's battlefield, this text emphasizes radar and IR theory and countermeasures. Although command and control (C2) systems play a vital role in modern warfare, these systems are not a direct threat to the aircrew and hence are not discussed in this book. This text does address the specific types of radar systems most likely to be associated with a modern integrated air defense system (lADS). To introduce the reader to EW, Electronic Warfare Fundamentals begins with a brief history of radar, an overview of radar capabilities, and a brief introduction to the threat systems associated with a typical lADS. The two subsequent chapters introduce the theory and characteristics of radio frequency (RF) energy as it relates to radar operations. These are followed by radar signal characteristics, radar system components, and radar target discrimination capabilities. The book continues with a discussion of antenna types and scans, target tracking, and missile guidance techniques. The next step in the building-block approach is a detailed description of countermeasures designed to defeat radar systems. The text presents the theory and employment considerations for both noise and deception jamming techniques and their impact on radar systems.
    [Show full text]
  • Loran C Cycle Matching Operational Evaluation in North Pacific Area
    ~Opy 19 Report No. FAA ...RD-75-142 1-= FAA WJH Technical Center 1111\\\ 11\\1 11m 11111 11m 11111 1III1 11111 11111111 00090609 LORAN C CYCLE MATCHING OPERATIONAL EVALUATION IN NORTH PACIFIC AREA Jon R. Hamilton . .. NAFEC :~. LIBRARY DEC 2197~· # . October 1975 Final Report Document is avai lable to the public through the National Technical Information Service, Springfield, Virginia 22161. Preparell for u.s. DEPARTMENT OF TRANSPORTATION FEDERAL AVIATION ADMINISTRATION Systems Research &Development Service Washington, D.C. 20590 NOTICE This document is disseminated under the sponsorship of the Department of Transportation in the interest of infor­ mation exchange. The United States Government assumes no liability for its contents or use thereof. 1 -=~,....e;.,...~_r~_~.,...~.,...' ~T 'I";~T,iW', 1--:-_' -..,..7_5..,..-_1_4_2 ....'·-O:;;;;-"=;;;;=:--.-- (000'0' No 4. Tit'e and Subtitle 5. Rer,ort Dote Loran C Cycle Matching Operational Evaluation in October 1975 North Pacific Area I-:- ------::-------:::----~--_1 1'-::--:---:--:-:---------------------------- ,g. P .. rio-Ming Orgonlzation Report N.o. 7. Author/ .) Jon R. Hami 1ton P~rfo,mi"g 9. l.Ontlnenta Organitotjpi) I-\lr N.p[e. lneS, and Acld'fu nco In. Wark Unit No. /TRAIS) International Airport 11. Cont'oct or Grant No. Los Angeles, California 90009 DOT -FA75WA-3607 -:-. '--'~"--"----'-'" ._.---------­ 1J. 1" yp.. "f Qepc"t 01"1' Period Coy"r.d ~-....,.....-----_._---_._._._----.-_._--.-. __._._.__..._. __ ._---._.._." 12. Sponsoring Agency Name and ~cldr..". Final Department of Transportation I October 1975 Federal Aviation Administration Systems Research and Development Service 14. Spc.nsorinll Agene./ Code Washington, D.
    [Show full text]
  • Vector-Based and Ultra-Tight GPS/INS Receiver Performance in the Presence of Continuous Wave Jamming
    University of Calgary PRISM: University of Calgary's Digital Repository Graduate Studies The Vault: Electronic Theses and Dissertations 2015-02-03 Vector-based and Ultra-Tight GPS/INS Receiver Performance in the Presence of Continuous Wave Jamming Krasovski, Sergey Krasovski, S. (2015). Vector-based and Ultra-Tight GPS/INS Receiver Performance in the Presence of Continuous Wave Jamming (Unpublished master's thesis). University of Calgary, Calgary, AB. doi:10.11575/PRISM/28635 http://hdl.handle.net/11023/2080 master thesis University of Calgary graduate students retain copyright ownership and moral rights for their thesis. You may use this material in any way that is permitted by the Copyright Act or through licensing that has been assigned to the document. For uses that are not allowable under copyright legislation or licensing, you are required to seek permission. Downloaded from PRISM: https://prism.ucalgary.ca UNIVERSITY OF CALGARY Vector-based and Ultra-Tight GPS/INS Receiver Performance in the Presence of Continuous Wave Jamming by Sergey Krasovski A THESIS SUBMITTED TO THE FACULTY OF GRADUATE STUDIES IN PARTIAL FULFILMENT OF THE REQUIREMENTS FOR THE DEGREE OF MASTER OF SCIENCE GRADUATE PROGRAM IN GEOMATICS ENGINEERING CALGARY, ALBERTA JANUARY, 2015 © Sergey Krasovski 2015 Abstract This thesis investigates the ability of a vector-based Global Positioning System (GPS) receiver and an ultra-tight GPS/inertial receiver to detect and mitigate Continuous Wave (CW) interference in tracking and navigation domains. In this work, an Interference Detector (ID) is incorporated into the tracking domain of a GPS software receiver and a new observation weighting (OW) algorithm is developed to help classify GPS measurements when CW signal is present.
    [Show full text]
  • 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.
    [Show full text]
  • 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.
    [Show full text]
  • Location Corrections Through Differential Networks (LOCD-IN)
    Location Corrections through Differential Networks (LOCD-IN) A thesis presented to the faculty of the Russ College of Engineering and Technology of Ohio University In partial fulfillment of the requirements for the degree Master of Science Russell V. Gilabert December 2018 © 2018 Russell V. Gilabert. All Rights Reserved. 2 This thesis titled Location Corrections through Differential Networks (LOCD-IN) by RUSSELL V. GILABERT has been approved for the School of Electrical Engineering and Computer Science and the Russ College of Engineering and Technology by Maarten Uijt de Haag Edmund K. Cheng Professor of Electrical Engineering and Computer Science Dennis Irwin Dean, Russ College of Engineering and Technology 3 ABSTRACT GILABERT, RUSSELL V., M.S., December 2018, Electrical Engineering Location Corrections through Differential Networks (LOCD-IN) Director of Thesis: Maarten Uijt de Haag Many mobile devices (phones, tablets, smartwatches, etc.) have incorporated embedded GNSS receivers into their designs allowing for wide-spread on-demand positioning. These receivers are typically less capable than dedicated receivers and can have an error of 8-20m. However, future application, such as UAS package delivery, will require higher accuracy positioning. Recently, the raw GPS measurements from these receivers have been made accessible to developers on select mobile devices. This allows GPS augmentation techniques usually reserved for expensive precision-grade receivers to be applied to these low cost embedded receivers. This thesis will explore the effects of various GPS augmentation techniques on these receivers. 4 ACKNOWLEDGMENTS I would like to thank my academic advisor, Maarten Uijt de Haag, for providing guidance and opportunities in both my academic and professional careers.
    [Show full text]
  • 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.
    [Show full text]
  • 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.
    [Show full text]
  • 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.
    [Show full text]
  • Systems Engineering Approach to Develop Guidance, Navigation and Control Algorithms for Unmanned Ground Vehicle
    Calhoun: The NPS Institutional Archive Theses and Dissertations Thesis and Dissertation Collection 2016-09 Systems engineering approach to develop guidance, navigation and control algorithms for unmanned ground vehicle Lim, Eng Soon Monterey, California: Naval Postgraduate School http://hdl.handle.net/10945/50579 NAVAL POSTGRADUATE SCHOOL MONTEREY, CALIFORNIA THESIS SYSTEMS ENGINEERING APPROACH TO DEVELOP GUIDANCE, NAVIGATION AND CONTROL ALGORITHMS FOR UNMANNED GROUND VEHICLE by Eng Soon Lim September 2016 Thesis Advisor: Oleg A. Yakimenko Second Reader: Fotis A. Papoulias Approved for public release. Distribution is unlimited. THIS PAGE INTENTIONALLY LEFT BLANK REPORT DOCUMENTATION PAGE Form Approved OMB No. 0704–0188 Public reporting burden for this collection of information is estimated to average 1 hour per response, including the time for reviewing instruction, searching existing data sources, gathering and maintaining the data needed, and completing and reviewing the collection of information. Send comments regarding this burden estimate or any other aspect of this collection of information, including suggestions for reducing this burden, to Washington headquarters Services, Directorate for Information Operations and Reports, 1215 Jefferson Davis Highway, Suite 1204, Arlington, VA 22202-4302, and to the Office of Management and Budget, Paperwork Reduction Project (0704-0188) Washington, DC 20503. 1. AGENCY USE ONLY 2. REPORT DATE 3. REPORT TYPE AND DATES COVERED (Leave blank) September 2016 Master’s thesis 4. TITLE AND SUBTITLE 5. FUNDING NUMBERS SYSTEMS ENGINEERING APPROACH TO DEVELOP GUIDANCE, NAVIGATION AND CONTROL ALGORITHMS FOR UNMANNED GROUND VEHICLE 6. AUTHOR(S) Eng Soon Lim 7. PERFORMING ORGANIZATION NAME(S) AND ADDRESS(ES) 8. PERFORMING Naval Postgraduate School ORGANIZATION REPORT Monterey, CA 93943-5000 NUMBER 9.
    [Show full text]
  • And Dual-Frequency GPS and GLONASS Observations on Point Accuracy Under Forest Canopies
    Effects of Differential Single- and Dual-Frequency GPS and GLONASS Observations on Point Accuracy under Forest Canopies Erlk Naesset Deckert and Bolstad (1996) and Sigrist et al. (1999) reported A 20-channel, dual-frequency receiver observing dual-fie- accuracies of approximately 3.1 to 4.4 m and 1.8 to 2.5 m for the quency pseudorange and carrier phase of both GPS and average position of 500 and 480 repeated measurements of indi- GLONASS was used to determine the positional accuracy of 29 vidual points under tree canopies, respectively, based on differ- points under tree canopies. The mean positional accuracy ential pseudorange. Nsesset (1999)found that, even under tree based on differential postprocessing of GPS+GLONASS single- canopies, carrier phase observations represent valuable addi- frequency observations ranged from 0.16 m to 1.I 6 m for 2.5 tional information as compared to traditional pseudorange min to 20 min of observation at points with basal area ranging acquisition. By using both single-frequency pseudorange and from <20 m2/ha to 230 m2/ha. The mean positional accuracy carrier phase observations in an adjustment with coordinates of differential postprocessing of dual-frequency GPS+GLONASS and carrier phase ambiguities as unknown parameters (float observations ranged from 0.08 m to 1.35 m. Using the dual- solution), an accuracy of 0.8 m was reported for two 12-chan- frequency carrier phase as main observable and fixing the nel receivers based on 30 min of observation. The correspond- initial integer phase ambiguities, i.e., a fixed solution, gave ing accuracy using pseudorange only was 1.2 to 1.9 m.
    [Show full text]