LORAN-C in Paradise International Loran Association 31 st Annual Convention and Technical Symposium October 27-30, 2002 Washington, DC Written and Presented.

Slides:



Advertisements
Similar presentations
Chapter 2 The Process of Experimentation
Advertisements

Animal, Plant & Soil Science
Long RAnge Navigation version C
The Implementation of the Cornell Ionospheric Scintillation Model into the Spirent GNSS Simulator Marcio Aquino, Zeynep Elmas,
NELS status 31th Annual Convention & Technical Symposium ILA October 27-30, 2002 Washington D.C NELS Co-ordinating Agency Office (CAO) Gunn Marit Hernes.
COIN-GPS: Indoor Localization from Direct GPS Receiving.
Professional and Technical Written Communication for Engineers Session Eight Test Procedure and Discussion of Results.
32 nd International Loran Association November 3-7, 2003 Predicting Differential Loran-C Performance in Boston Harbor Erik Johannessen Andre Grebnev Wouter.
Software Quality Assurance Inspection by Ross Simmerman Software developers follow a method of software quality assurance and try to eliminate bugs prior.
AN OVERVIEW BY JAMIE STARKE The Role of Prototyping.
Accuracy Characterization for Metropolitan-scale Wi-Fi Localization Ying Wang, Xia Li Ying Wang, Xia Li.
Put your group member’s name here, click on View -> Master -> Slide Master. ECE 408/CS483, University of Illinois, Urbana-Champaign Title Member Names.
1/44 1. ZAHRA NAGHSH JULY 2009 BEAM-FORMING 2/44 2.
Avionics Engineering Center ILA-36 Orlando, FL October 2007 Computer Modeling of Loran-C Additional Secondary Factors Janet Blazyk, MS David Diggle, PhD.
1 Improving Branch Prediction by Dynamic Dataflow-based Identification of Correlation Branches from a Larger Global History CSE 340 Project Presentation.
Paper Title Your Name CMSC 838 Presentation. CMSC 838T – Presentation Motivation u Problem paper is trying to solve  Characteristics of problem  … u.
Navigational System For An Autonomouse Farming Vehicle Group 942.
© Tefko Saracevic, Rutgers University1 digital libraries and human information behavior Tefko Saracevic, Ph.D. School of Communication, Information and.
Swami NatarajanJuly 14, 2015 RIT Software Engineering Reliability: Introduction.
Ruolin Fan, Silas Lam, Emanuel Lin, Oleksandr Artemenkoⱡ, Mario Gerla
Introduction to Software Testing
ELEC 4600 RADAR & NAVIGATION
13/06/13 H. Rho Slide 1 Geodetic Research Laboratory Department of Geodesy and Geomatics Engineering University of New Brunswick Evaluation of Precise.
LORAN C By Farhan Saeed.
Team Phoenix March 15, Project Goal Our team will develop an air vehicle that will not only navigate a course autonomously while providing real.
Navigation Systems The Ten most important steps for achieving a highly accurate fix for a Private Aid to Navigation. PART A. 1 Prepared by the Navigation.
Software System Engineering: A tutorial
Differential eLoran Reference Station for Maritime and Precise Time Applications Gerard Offermans, Arthur Helwig, Reelektronika NL International Loran.
Simultaneous Estimations of Ground Target Location and Aircraft Direction Heading via Image Sequence and GPS Carrier-Phase Data Luke K.Wang, Shan-Chih.
Localization With Mobile Anchor Points in Wireless Sensor Networks
Introduction to Science: The Scientific Method. Vocab Hypothesis – if then because statement based on prior knowledge or experience Variable Independent.
10/7/ Innovative Solutions International Satellite Navigation Division ION NTM 01 Capabilities of the WAAS and EGNOS For Time Transfer SBAS, an Alternate.
The Scientific Method. The Scientific Method The Scientific Method is a problem solving-strategy. *It is just a series of steps that can be used to solve.
Software Development Software Testing. Testing Definitions There are many tests going under various names. The following is a general list to get a feel.
Making a Silk Purse from a Sow’s Ear, Loran Style David H. Gray Canadian Hydrographic Service Ottawa Disclaimer: The opinions expressed in this paper are.
Getting a Bearing on ASF Directional Corrections 32 nd Annual Technical Symposium International Loran Association 5 Nov 2003 Boulder, CO.
Introduction Algorithms and Conventions The design and analysis of algorithms is the core subject matter of Computer Science. Given a problem, we want.
Problem Solving Strategies EDU 412/413 Special Thanks to: Matthieu Petit.
Markland J. Benson, Computer Systems Manager, White Sands Complex, (575) , Technology Infusion of CodeSonar into the Space.
United States Coast Guard U.S. Coast Guard Auxiliary Approved USCG Auxiliary - Department of Education Copyright ©2004 Coast Guard Auxiliary Association,
Robust localization algorithms for an autonomous campus tour guide Richard Thrapp Christian Westbrook Devika Subramanian Rice University Presented at ICRA.
1 POS MV Vertical Positioning March Where we fit in! “Other sensors (notably modern heave-pitch-roll sensors) can contribute to achieving such.
Maryam Mehrnezhad Feng Hao Siamak F. Shahandashti Newcastle university, UK CryptoForma meeting, Belfast 4 May 2015 Tap-Tap and Pay (TTP): Preventing The.
LOng RAnge Navigation- LORAN, (Class II navigation) AST 241 Dr. Barnhart.
Leaf-off accuracy of mapping-grade GPS receivers Pete Bettinger Michael Ransom James Rhynold University of Georgia Warnell School of Forestry and Natural.
Section 10.1 Confidence Intervals
1 Loran-C User Position Software (LUPS) Navigation Performance with the August 2001 Cross-Country/Alaska Flight Test Data Jaime Y. Cruz and Robert Stoeckly.
Making PowerPoint Slides Adopted from Mary Westervelt, University of Pennsylvania.
Loran Integrity Performance Panel The Loran Integrity Performance Panel (LORIPP) The LORIPP Team Loran Team Meeting McLean, VA July 30, 2002.
Prototyping life cycle Important steps 1. Does prototyping suit the system 2. Abbreviated representation of requirements 3. Abbreviated design specification.
1 SVY 207: Lecture 12 Modes of GPS Positioning Aim of this lecture: –To review and compare methods of static positioning, and introduce methods for kinematic.
Navigation NAU 102 Lesson 1.
Turning a Mobile Device into a Mouse in the Air
Accuracy vs. Precision. 2 minutes: Write what you think accuracy and precision mean 1 minute: discuss at your table what you think.
Testing and Evaluating Software Solutions Introduction.
Geoencryption Using Loran Di Qiu, Sherman Lo, Per Enge Stanford University Sponsored by FAA Loran Program.
The joint influence of break and noise variance on break detection Ralf Lindau & Victor Venema University of Bonn Germany.
Navigation Systems The Ten most important steps for achieving a highly accurate fix for a Private Aid to Navigation. PART A. 1 Prepared by the Navigation.
Post Mid-Term Review and Layout Drawings October 9, 2006 Team Moondogs Chris Culver Rahul Kirtikar Elias Krauklis Christopher Sampson Michael Widerquist.
What Do We Mean by Usability?
Systems Analysis and Design
TI measurement techniques for pulsed Lidars – the Current Status
Software life cycle models
The Role of Prototyping
BAM Annual Conference, 9th -11th September 2008
Loran c R.Ezhilarasan( ) R.Dinesh( )
Open Loop Tracking of GPS Radio Occultation for LEOs
Biological Science Applications in Agriculture
The Scientific Method.
Presentation transcript:

LORAN-C in Paradise International Loran Association 31 st Annual Convention and Technical Symposium October 27-30, 2002 Washington, DC Written and Presented by: John B. Moore, Jr., Principal Engineer W R Systems, Ltd. (member ILA) 2500 Almeda Avenue, Suite 214 Norfolk, VA Telephone: (757) , ext. 430

Outline  Acquisition time  S/R ratio  Introduction  W R Systems Navigation Overview  Objectives of Paper  Observations of LORAN-C Performance (Continued on next slide)

 Own ship tracking  Accuracy vs. GPS (WAAS)  Ease of use  Observation of data  Conclusion Outline - (continued)

Navigation Overview  Provide NAVCERT testing of U.S. Navy ship navigation systems  INS, GPS, Nav inputs to landing systems, weapons  Previously evaluated LORAN-C when it was installed (Continued on next slide)

 WRSystems supporting the development of ECDIS-N charting  No LORAN-C currently installed  Totally GPS dependent Navigation Overview - (continued)

Objectives of Paper  Look at accuracy of LORAN-C compared to GPS (WAAS)  Make observations of LORAN-C usability for navigation, acquisition, SNR, ease of use, etc.  Try to support value of LORAN-C showing useful data (Continued on next slide)

Objectives of Paper - (continued)  Recent experience with LORAN-C (not much data around it seems)  Unfunded, personnel effort to satisfy my curiosity

S/Y L’AMOUR

Observations  Acquisition Time  minutes. Seemed to be dependent on where you were in net. Note that LORAN-C would not lock on on one occasion in the Bahamas. While no acquisition data was taken, acquisition time seemed longer on the outer edge of the net in the Bahamas. (Continued on next slide)

Observations - (continued)  Own ship tracking of SMG, HMG, XTE, etc. correlated with GPS. At sailboat speed (5-7 knots), tracking good.  S/R ratios were observed to be 80s and 90s throughout, although data not recorded. Signal strength always seemed to be good. (Continued on next slide)

Observations - (continued)  Accuracy GPS (WAAS) – LORAN-C  All comparisons in position (L ) taken at anchor or dockside. (GPS (WAAS) verified on charts)  Ease of use  LORAN-C receiver equally functional and easy to use. Larger size actually easier to operate. (Continued on next slide)

Observations - (continued)  Observation of difference data  All coastal [GPS (WAAS)] – [LORAN-C] comparisons were within 0.25 nm, as published in the LORAN- C Users Handbook with one exception  Exception: In Ft. Lauderdale, QRM level very high. Cycle slip believed to cause errors of 0.5 nm. It must be noted that the high QRM did not affect GPS. Unable to operate HF ham radio most of the time. (Continued on next slide)

Observations - (continued)  Errors in outer reaches of LORAN-C net 0.8 nm to 1.5 nm. While these errors are much higher than GPS (WAAS), it is adequate for ocean navigating.  Note difference of at west end, and errors of.882 and.971 at Great Sale Cay and Allen Pensacola Cays, Bahamas. These cays are further east. (Continued on next slide)

Observations - (continued)  Note reading at Allen Pensacola Cay readings on 3/19/02 and 4/17/02 with a difference of.049 nm  100 m repeatability. Note Great Guana repeatability of 70 m. Marathon 150 m. Looks like repeatability is 150 m or better.  Not sure that I took enough data at each location, over enough time to draw any final conclusions, but we can see where further study would be needed.

GPS (WAAS) VS. LORAN-C

Conclusions  LORAN-C performance using 1980 technology versus GPS (WAAS) using 2000 technology seemed good  LORAN-C is a good backup to GPS for coastal navigation at least (Continued on next slide)

 LORAN-C has all the navigation features (functions) of GPS except vertical position  Meets 0.25 accuracy Conclusions - (continued)  Repeatability better than 150 meters (Continued on next slide)

 LORAN-C updated receiver design should improve:  accuracy Conclusions - (continued)  receiver size/weight  GPS/LORAN-C Kalman filter improves GPS/WAAS-C accuracy (Continued on next slide)

 Public acceptance of LORAN-C for navigation dependent on:  accuracy improvement Conclusions - (continued)  receiver and system performance  size/weight/deduction (Continued on next slide)  low cost

 Accuracy improvements achievable through:  faster processors Conclusions - (continued)  additional error correction (i.e., secondary phase correction) (Continued on next slide)

Conclusions - (continued)  improved algorithms to utilize master and slave independent solutions  rho – rho solutions  LORAN-C is a very user “friendly” system