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  • session 7

    Title

    Advances in Space-based Navigation Technologies

    Description

    This session is focused on advances in technology applicable to space-based navigation systems. Technologies include hardware or software necessary for the entire navigation system (spacecraft, monitor and control system, end-user equipment) such as: sensors, star trackers, sensor fusion algorithms, space-born frequency standards, crosslink ranging techniques, etc. Technologies should be applicable to position determination, navigation, time determination, and integrity assurance on Earth, Moon, and potentially other bodies of the solar system.

    IPC members
    • Co-Chair: Dr. Joe M. Straus, The Aerospace Corporation, United States;

    • Co-Chair: Dr. Peter Buist, European GNSS Agency (GSA), The Netherlands;

    • Rapporteur: Mr. Attila MATAS, [unlisted], Switzerland;

    papers

    Order

    Time

    Paper title

    Mode

    Presentation status

    Speaker

    Affiliation

    Country

    1

    Calibration and Validation of the EGNOS GEO-3 Ground Stations with the ECVF

    10

    confirmed

    Mr. Stefan van der Linden

    S[&]T

    The Netherlands

    2

    Coherent Optical Doppler Orbitography

    10

    confirmed

    Dr. Sascha Schediwy

    The University of Western Australia

    Australia

    3

    Multi-sensor Fusion for Autonomous Deep Space Navigation

    10

    confirmed

    Dr. Chengjun Guo

    University of Electronic Science and Technology of China (UESTC)

    China

    4

    Multipath Location Methodology for Ground Based Augmentation Systems

    10

    confirmed

    Dr. Petra Pisova

    Telespazio VEGA Deutschland GmbH

    Germany

    5

    Rail Integrated Navigation of GNSS RTK/ IMU/ Tag Signal

    Dr. Peng Li

    CAST

    China

    6

    Robust attitudes controller design for LEO Satellite with orbital perturbations

    10

    confirmed

    Dr. Raja Munusamy

    University of Petroleum and Energy Studies

    India

    7

    Feasibility Study of Neural Network in Satellite Attitude Determination

    Mr. XIANLIANG CHEN

    Australia

    8

    Introducing Novel MEMS Lorentz Force Magnetometer Designs

    10

    confirmed

    Ms. Muneera Al-Shaibah

    Khalifa University of Science and Technology (KUST)

    United Arab Emirates

    9

    Sensitivity Characterization of a Novel MEMS Vibrating Ring Gyroscope

    10

    confirmed

    Ms. Dima Ali

    Khalifa University of Science and Technology (KUST)

    United Arab Emirates

    10

    Recommended Satellite Network based Autonomous Navigation for Martian Lander

    10

    confirmed

    Mr. Deepak Gaur

    Amity School of Engineering

    India

    11

    Implementation and Validation of Murrell’s Version Kalman Filter For Attitude Estimation

    10

    confirmed

    Mr. Gaurav Sharma

    Birla Institute of Technology and Science(BITS)

    India

    12

    Enhanced multi-sensor data fusion method using recurrent neural network

    10

    confirmed

    Ms. Jing He

    University of Electronic Science and Technology of China (UESTC)

    China