ION 61st Annual Meeting
Royal Sonesta Hotel - Cambridge, Massachusetts
June 27-29, 2005

Technical Sessions

Special Events & Tourist Information

Accommodations

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An invited panel of experts will present detailed summaries and evaluations of the GPS, Galileo, and SBAS modernization programs, including new capabilities, architectures, new signals, schedules, and issues.

The presentations will include tutorial-level material comprehensively describing the current GNSS modernization programs, as well as critical evaluations of these programs by external observers.

The workshop will conclude with a question and answer session to provide an opportunity for audience participation.

This workshop will focus on the effects of the Super Storms of 2003 on GPS based systems. In October and early November 2003, a series of large solar events resulted in some of the most extreme space weather of the current solar cycle. Space weather events of this magnitude can affect the performance of ground and space based technological systems, with effects ranging from minor digital upsets, to severe power grid disruptions that can cause loss of service to millions.

For GPS users, the impact of space weather can usually be characterized by disturbances in the ionosphere. These in turn cause degradation in range measurements, and in severe circumstances, loss of lock by the receiver of the GPS signal.

This workshop will include invited presentations that focus on the observations, the physics and the impact of these Great storms on GPS based systems. Attendees are encouraged to bring brief examples of data or effects and take part in the discussion that will take place during the workshop.

1. The Vessel Identification and Positioning System - A Key Element to Harbor Security: H. Wychorski, K. Chin, D. Phinney, Volpe National Transportaion System Center
2. Use of an Integrated GPS/Loran Tracking System in the Urban Environment: J. Carroll, H. Wychorski, K. Chin, D. Phinney, B. Long, G. Nim, M. Craven, US DOT/Volpe National Transportation Systems Center
3. Development of the Guardian Vehicle Tracking and Emergency Communications System: W. Baron, Volpe National Transportation Systems Center
4. DGPS Directional Signal Strength Meter: L. Hartshorn, P. Swaszek, University of Rhode Island; R. Hartnett, K. Gross, U.S. Coast Guard Academy; G. Johnson, C. Oates, R. Shalaev, Alion JJMA Marine and Industrial Engineering Operation
5. 746 Test Squadron Multi-element Antenna Wavefront Simulation Capabilities: M. Alsleben, T. Bouska, D. Bednorz, 746 Test Squadron
6. Enhanced Loran Implementation and Evaluation: K. Shmihluk, K. Carroll, U. S. Coast Guard Loran Support Unit; T. Celano, Timing Solutions Inc.; E. Powers, U. S. Naval Observatory

1. The TerraMax OSU/Oshkosh Team at the DARPA Grand Challenge: C.K. Toth, D.A. Grejner-Brzezinska, The Ohio State University
2. Long Endurance GPS Inertial Transponder: E. White M.B. May, J. Richman, PSU/ARL
3. A Next-Generation Machine Guidance and Control System-: J.A. Flinn, Carlson Software
4. MAV Attitude Estimation Using Low-cost MEMS Inertial Sensors and GPS: J. Wendel, O. Meister, R. Moenikes, C. Schlaile, G.F. Trommer, University of Karlsruhe, Germany
5. Implementing Civil Monitoring in Wake of the New Policy on GPS: J.W. Lavrakas, Overlook Systems Technologies, Inc.
6. Gaining Operational Approval for use of GPS III in the National Airspace System: M. Hecht, K. Maine, C. Yinger, The Aerospace Corporation; M. Alonso, U.S. Air Force GPS III Joint Program Office

1. GPS Imaging Showing the Vertical Dynamics of the Storm-time Ionosphere Over Europe and the USA: P. Yin, C. Mitchell, University of Bath, UK
2. Ionospheric Variations at Midlatitudes Detected by a Dense GPS Receiver Array in Japan: A. Saito, Kyoto University, Japan; Y. Otsuka, T. Tsugawa, Nagoya University, Japan
3. Verification of Low-Latitude Ionosphere Effects on WAAS During October 2003 Geomagnetic Storm: S. Datta-Barua, T. Walter, J. Blanch, P. Enge, Stanford University; A. Komjathy, Jet Propulsion Laboratory
4. The Effect of Atmosphere Turbulence on Ground-based GPS Open Loop Tracking: P. Hoeg, L. Olsen, Aalborg University, Denmark ; A. Carlstrom, Saab Ericsson Space, Sweden
5. Open-loop Tracking of GPS Occultations for Profiling the Lower Troposphere: Results From the SAC/C Satellites: G.A. Hajj, T.K. Meehan, C.O. Ao, D. Dong, B.A. Iijima, A. Mannucci, Jet Propulsion Laboratory
6. Analysis of the Effect Upon GPS Measurements Arising From Deviations From Hydrostatic Equilibrium in Areas Affected by Severe Weather: F. Scire´Scappuzzo, ETH/BU; B.T. Anderson, Boston University; B. Buerki, H.-G. Kahle, ETH

Alternates
1. Analysis of Network-RTK Positioning Performance During Severe Ionospheric Storm: P. Wielgosz, I. Kashani, D.A. Grejner-Brzezinska, The Ohio State University
2. Study of GPS Receiver Performance Under Ionospheric Scintillation Condition: S. Dubey, R. Wahi, A.K. Gwal, Barkatullah University, India

1. On-Orbit Time Transfer Performance of Gravity Probe B Relativity Mission: J. Li, G.M. Keiser, Stanford University; J.M. Lockhart, Stanford University/San Francisco State University; P. Shestople, Stanford University
2. Recursive Estimation of Spacecraft Position Using X-ray Pulsar Time of Arrival Measurements: S.I. Sheikh, D.J. Pines, University of Maryland
3. Use of X-Ray Pulsars for Aiding GPS Satellite Orbit Determination: D. Woodfork, J.F. Raquet, Air Force Institute of Technology; R.A. Racca, Air Force Space Command
4. A Regenerative Pseudonoise Range Tracking System for the New Horizons Spacecraft: R.J. DeBolt, D.J. Duven, C.B. Haskins, C.C. DeBoy, T.W. LeFevere, The Johns Hopkins University Applied Physics Laboratory
5. Improving Multipath Mitigation in GPS/Galileo BOC Signals with Gating Functions: F. Nunes, F. Sousa, J. Leitao, Instituto de Telecomunicacoes, Portugal

1. Multipath-Desensitized Delay Estimation with GPS Signal Channel Transfer Function Filtering: C. Yang, Sigtem Technology, Inc.; A. Porter, AFRL/SNRP
2. Wideband Dual-Frequency Transform-Domain GPS Instrumentation Receiver for Signal Quality and Anomalous Event Monitoring: S. Gunawardena, A. Soloviev, F. van Graas, Ohio University
3. The Use of GPS Bistatic Radar Techniques with a Software GPS Receiver for Terrain Elevation Measurements and Ground Object Detection: E. Vinande, D. Akos, D. Masters, P. Axelrad, S. Esterhuizen, University of Colorado, Boulder
4. A New Method to Enhance GPS SNR and its Application for Fast Acquisition: Y. Lu, J. Cheng, J. A. Farrell, University of California-Riverside
5. Partial Correlation Technique for the Acquisition of Weak GPS/Galileo Signals: F.M.G. Sousa Instituto de Telecomunicacoes/ Instituto Superior de Engenharia de Lisboa, Portugal; R.C.E. Navarro, F.D. Nunes, J.M.N. Leitao, Instituto de Telecomunicacoes, Portugal / Instituto Superior T‚cnico Av. Rovisco Pais, Portugal
6. Joint Acquisition of CM and CL Codes for GPS L2C: C. Yang, Sigtem Technology, Inc.

Alternate
1. A Fast Acquisition Algorithm for Indoor Software Receivers : P.K. Sagiraju, D. Akopian, University of Texas at San Antonio

The workshop will focus on strategies to achieve improvements in real time GPS positioning and navigation accuracy on land, sea and air without sacrificing the current levels of reliability and integrity. The workshop will discuss the expected costs and benefits to be derived from the expansion of the Global Navigation Satellite System, as well as what additional information are needed to augment GNSS measurements to achieve different levels of accuracy and integrity. The workshop will consider the relative contributions of improved orbits, clock models and atmospheric correctors to 3-dimensional point and differential positioning using range and/or carrier phase measurements. What is the accuracy, latency, and reliability required of orbit, clock and atmospheric models needed to achieve various levels (100 cm, 10 cm, 1 cm) of horizontal and vertical accuracy using different measurement strategies? How do these factors influence baseline-length dependence and the length of the observation session?

1. Navwar Threat Environment Update: M. Creighton, Overlooks Systems Technologies, Inc.
2. Why M-Code?: J. Betz, The MITRE Corporation
3. Navwar Electronic Attack: M. Durrell, AF/XORE
4. Electronic Support ACTD Proposal: J.D. Davis, Combat Sent Program Office
5. JNWC Test Roadmap Update: W. Treu, JNWC
6. GPS Measurement Assurance: S. Bose, Technalytics; M. Dall, National Security Agency
7. Battlefield Pseudolites: K. Hollister, MIT Lincoln Laboratory
8. Exactly What Does the GPS Satellite Transmit?: A. Tetewsky, Charles Stark Draper Laboratory

1. Combining GPS/INS Measurements into an Ultra-tightly Coupled Anti-jam Configuration: D. Benson, The MITRE Corporation
2. Performance of GPS AE in the Presence of Jammer Multipath: I.J. Gupta, The Ohio State University
3. L3 Interstate Electronics Corporation GPS/IMU Deep Integration Integrated with STAP Processing: Description and Jamfest Test Results: S. Alexander, I. Johnston, E. Thorndyke, L3 Interstate Electronics Corporation; B. Baeder, (US Army AAMCOM)
4. Preliminary Evaluation of Ultra Tightly Coupled GPS/INS Performance in Jamming: E.J. Ohlmeyer, Naval Surface Warfare Center
5. Preliminary JAMFEST Results: P. Boethel, (GPS JPO (SMC/GPET))
6. Pre-test Prediction of a GPS Threat Using Giant: J. Hendrixson, J. LaRuffa, J. Hebert, AFOTEC
7. Hypersonic Vehicle GPS Simulation Results: D. Howell, G. Green, D. Jacobs, AFRL/SNRW

Alternate
1. An Independent Assessment of GIANT: A. Ellingson, J. Hendrixson, J. Hebert, AFOTEC

1. Nonlinear Filtering Techniques for GNSS Data Processing: C. Yang, Sigtem Technology, Inc.; M. Miller, AFRL/SNRP
2. C/A Code Differential GPS for a Cat.II ILS Flight Inspection: M.F.B. Nunes, Portuguese Air Force Academy, Portugal; I. Osorio, University of Porto, Portugal
3. Application of Inertial Technique for Railway Track Measurements: N. Atamanov, V. Troitskiy, Navteco, Russia; M. Glazkov, I. Gusev, P. Koulechov, PIC Progress AG, Russia
4. Linear Time-of-Arrival Estimation in a Multipath Environment by Inverse Correlation Method: J. Do, M. Rabinowitz, P. Enge, Stanford University
5. Ultra Low-Power GPS Recorder (TrackTagTM): A. Brown, P. Brown, NAVSYS Corporation
6. GPS/Galileo/GLONASS Hybrid Satellite Constellation Simulator - GPS Constellation Validation and Analysis: A. Constantinescu, R. Landry, Ecole de Technologie Superieure, Canada

Alternate
1. NAVSYS - Lockheed Martin TSPI System for High Dynamic Aircraft: B. Johnson, D. Nguyen, Y. Lu, H. Holland, C.-C. Wang, NAVSYS Corporation; S. Motte, D. Smith, Lockheed Martin

1. Vertical Protection Levels for Local Airport Monitor for WAAS: J. Rife, S. Pullen, T. Walter, P. Enge, Stanford University
2. The Impact of Measurement Biases on Availability for CAT IIIb LAAS: J. Rife, S, Pullen, Stanford University
3. On EGNOS and WAAS Performance: I. Alcantarilla, N. Zarraoa, J. Caro, GMV, Spain
4. Analysis of GPS and DGPS Performance at Sea: L.S. Monteiro, Institute Hidrografico, Portugal; T. Moore, C. Hill, University of Nottingham, UK
5. Detecting RFI Through Integrity Monitoring at a DGPS Reference Station: Y. Yun, C, Kee, Seoul National University, South Korea; J. Rife, M. Luo, S. Pullen, P. Enge, Stanford University
6. What is the Accuracy of Maritime DGPS?: L.S. Monteiro, Institute Hidrografico, Portugal; T. Moore, C. Hill, University of Nottingham, UK

Alternate
1. Development and Validation of an Aircraft Multipath Model for Land-Based JPALS: J.P. Weiss, S. Anderson, C. Fenwick, L. Song, P. Axelrad, University of Colorado, Boulder; R.L. Brinkley, ARINC Engineering Services, LLC

1. Reducing Navigation and Timing Risk in the Maritime Domain Environment: G.K. Weeks, Jr., U.S. Coast Guard; B. Peterson, Peterson Integrated Geopositioning; J.F. Ryan, The Skip´r ; G.T. Gunther, U.S. Coast Guard
2. Maritime Differential Loran´s Major Step towards System Integration: A. Hawes, K. Carroll, U. S. Coast Guard Loran Support Unit; B. Peterson, K. Dykstra, Peterson Integrated Geopositioning
3. Noise Assessment and Mitigation for Loran for Aviation: S.C. Lo, C.O.L. Boyce, P. Enge, J.D. Powell, Stanford University
4. Integrated GPS/WAAS/eLoran Prototype System: G.L. Roth, Locus, Inc.; M.J. Narins, Federal Aviation Administration
5. Loran C Additional Secondary Factors: Implications for Meeting Required Navigation Performance (RNP) 0.3: D.W. Diggle, C. Cutright, Ohio University; G.L. Roth, C. Schweitzer, Locus, Inc.; M. Narins, FAA
6. Performance Trials of an Integrated Loran/GPS/IMU Navigation System, Part II: H. Atherton, M. Teixeira, R. Hartnett, U.S. Coast Guard Academy; G. Johnson, R. Shalaev, C. Oates, Alion JJMA Maritime Sector; P. Swaszek, University of Rhode Island

Alternate
1. Point Positioning Without Enough Satellites: D. Xu, L. Yang, Institute of Technology Costind, China

1. The Impact of Severe Ionospheric Conditions on the Accuracy of RTK Position Estimation: Performance Analysis of Various Ionospheric Modeling Techniques: D.A. Grejner-Brzezinska, P. Wielgosz, I. Kashani, The Ohio State University; D.A. Smith, P.S. J. Spencer, D. S. Robertson, G.L. Mader, National Geodetic Survey, NGS/NOAA; A. Komjathy NASA, JPL
2. Range-Extended GPS Kinematic Positioning Using Numerical Weather Prediction Model: F. Nievinski, K. Cove, M. Santos, D. Wells, University of New Brunswick, Canada
3. Performance Improvement of Carrier Phase DGPS with a Scalar Adaptive Filter: Y.S. Shin, C.G. Park. Seoul National University, South Korea
4. Evaluation of Several Double-differencing Strategies for Reduction of Unmodeled Correlated Errors in Carrier Phase GNSS Processing: K. O´Keefe, K. Johnson, P. Alves, The University of Calgary, Canada
5. A New Network-Based Rapid-Static Module for the NGS Online Positioning User Service - OPUS-RS: I. Kashani, P. Wielgosz, D.A. Grejner-Brzezinska, The Ohio State University; G.L. Mader, National Geodetic Survey, NOS/NOAA
6. Kinematic Relative GPS Positioning Using Dynamic Equations: Computational Aspects: X.-W. Chang, M. Huang, McGill University, Canada

Alternate
1. Nullification of Differential Ionospheric Delay for Long-Baseline Real-Time Kinematic Applications: D. Kim, R. Langley, University of New Brunswick, Canada

1. Attitude From Combined GPS and Imaging System Data: S.C. Rosengren, Dynetics Inc.; E, Sutton, The Boeing Company
2. Acquisition and Tracking Improvement by an Enhanced Comparison Based Terrain Referenced Navigation Method: J. Metzger, G.F. Trommer, University of Karlsruhe, ITE Germany; P. Kreutz, B. Taddiken, EADS-M
3. Terrain Referenced Navigation Using the IGMAP Data Fusion Algorithm: A.R. Runnalls, Data Fusion Research Ltd, UK; P.D. Groves, R.J. Handley, QinetiQ Ltd, UK
4. The Assessment of the Impact of Stochastic Error Modeling, Signal Denoising and Improved Gravity Compensation on the Navigation Performance of the Multi-IMU/GPS Sensor Assembly: D.A. Grejner-Brzezinska, Y. Yi, C. Toth, The Ohio State University
5. Attitude Performance Comparison Between Turret-mounted and Airframe-mounted INS Installations: W.D. Morris, D.C. Campion, L.R. Sorrell, I.N. Cyr, D. Kane, J.P. Dugan, Arete Associates
6. Assessment of User Performances of Current and Future Navigation Systems and Sensors using Computer Simulations: A.J. Gavin-Alarcon, A.J. Mu¤oz, GMV, S.A., Spain; T.W. Beech, GMV Space Systems Inc.

1. Inertial Navigation Sensors: N. Barbour, Draper Laboratory
2. Inertial Instrument Error Characterization: J.L. Farrell, VIGIL, Inc.
3. Performance Analysis of a Low Cost MEMS IMU and GPS Integration: Y. Yi, D.A. Grejner-Brzezinska, C.K. Toth, The Ohio State University
4. MEMS Inertial Performance in Challenging Environments: J. Hanse, Honeywell
5. The Silicon Oscillating Accelerometer: A High Performance MEMS Accelerometer for Precision Navigation and Strategic Guidance Applications: R. Hopkins, J. Miola, R. Setterlund, B. Dow, W Sawyer, Charles Stark Draper Laboratory Inc.
6. Web-Based MEMS Inertial Navigation Simulator: Z. Bennour, R. Landry, R. Giroux, A. Constantinescu, Ecole de Technologie Superieure, Canada

1. Orbit and Clock Correction Analysis for Long Baseline High Performance DGPS: Y. Zhang, C. Bartone, Ohio University
2. Quantifying Ambiguity Resolution Performance in the Presence of Time-Correlated Measurement Errors Using Geometric-Based Techniques: M.G. Petovello, K. O´Keefe, G. Lachapelle, M.E. Cannon, University of Calgary
3. A Modified LAMBDA Method for Integer Ambiguity Determination: X.-W. Chang, X. Yang, T. Zhou, McGill University, Canada
4. A Stochastic Approach for the Estimation of GPS Covariance Matrix of Observations: R. Leandro, M. Santos, K. Cove, University of New Brunswick, Canada
5. A New Carrier-Phase Multipath Observable for GPS Real-Time Kinematics Based on Between Receiver Dynamics: L. Serrano, D. Kim, R.B. Langley, University of New Brunswick, Canada
6. Antenna Performance Analysis for a High Performance NDGPS Architecture: C. Bartone, I. Barton, Y. Zhang, Ohio University; A. Cleveland, M. Parsons, U.S.C.G. Command and Control Center

1. Urban/Indoor Navigation Using Network Assisted GPS: A. Brown, NAVSYS Corporation; P. Olson, US ARMY RDECOM/CERDEC/C2D
2. On Attitude Bias Compensation in GPS/DR System For Land Vehicle Applications: B.P. Phuyal, Navigation Technologies
3. An Intelligent MEMS IMU-Based Land Vehicle Navigation System Enhanced by Dynamics Knowledge: J.-H. Wang, Y. Gao, Y. Zhang, University of Calgary, Canada
4. UK Rail Network Achieves Geospatial Integration: L. Rohter, Illinois Institute of Technology; S. Kimkeran, Omnicom Engineering Ltd., England

Alternate
1. Indoor Navigation: D. Thirumalaivasan, M. Usha, M. Tech, Anna University, India

1. Analysis of Mean-Time to Lose Lock in a First-Order Digital DLL for NRZ and BOC Signals in the Presence of a Single-Tone Interferer: A.R. Golshan, S.N. Lu, T.H. Dang, ARINC
2. INS/GPS Deep Integration Navigation Hardware Testbed: K. Flueckiger, D. Gustafson, J. Dowdle, The Charles Stark Draper Lab., Inc.
3. Performance Analysis of GPS Pseudolite Mitigation Using Adaptive Spatial Beamforming: C.-L. Chang, J.-C. Juang, NCKU, Taiwan