Publications

Institute of Navigation

list of publications

Publications since 2018

  1. 2026

    1. Boskovic, J., Geyer, F., Kranz, M., Krückel, R., Turco, F., Traub, C., Beck, A., Cunis, T., Fasoulas, S., Fichter, W., Hobiger, T., & Klinkner, S. (2026, May). Uncertainty Is Certain: Sources, Modeling, and Impacts of Uncertainty for VLEO Satellites. https://www.researchgate.net/publication/403437176_Uncertainty_Is_Certain_Sources_Modeling_and_Impacts_of_Uncertainty_for_VLEO_Satellites
    2. Hadaś, T., Hobiger, T., Marut, G., Wang, R., Trzcina, E., & Kowalczyk, W. (2026). Simultaneous troposphere estimation with precise point positioning. Journal of Geodesy, 100, Article 8. https://doi.org/10.1007/s00190-026-02088-z
    3. He, S., Brack, A., Hobiger, T., Takamatsu, N., & Wickert, J. (2026). Physical constraints for zenith wet delay estimation via inequality constrained least squares in real-time PPP. Journal of Geodesy, 100, Article 7. https://doi.org/10.1007/s00190-026-02075-4
    4. Krückel, R., Ghribi, A., Stucke, B., & Hobiger, T. (2026). Interacting Multiple Model Filtering for Orbit Determination under Time-Varying Thermospheric Density Uncertainty.
    5. Krückel, R., & Hobiger, T. (2026). Thermospheric Density Uncertainty Propagation based on Linearized Relative Orbital Dynamics. Advances in Space Research. https://doi.org/10.1016/j.asr.2026.03.043
    6. Stucke, B., Krückel, R., Ghribi, A., & Hobiger, T. (2026). Towards a Modular and Data-Oriented Architecture for a Precise Orbit Determination Software Using Entity Component Systems.

  2. 2025

    1. Fasoulas, S., Pagan, A., Traub, C., Annighöfer, B., Barz, S., Beck, A., Cunis, T., Dekorsy, T., Essig, S., Fichter, W., Flemisch, B., Herdrich, G. H., Hobiger, T., Kallfass, I., Kästner, J., Klinkner, S., Lamanna, G., Löhle, S., Pfeiffer, M., et al. (2025). Motivation, structure and goals of the Collaborative Research Centre 1667 : Advancing Technologies of very Low-Altitude Satellites-ATLAS. CEAS space journal. https://doi.org/10.1007/s12567-025-00687-8
    2. Ghribi, A., Stucke, M. B., Hobiger, T., & Winkler, S. (2025). Receiver Autonomous Integrity Monitoring for LEO Satellites: Outlier Detection and Exclusion (No. 31; Vol. 59). Elsevier. https://doi.org/10.1016/j.ifacol.2026.01.060
    3. Maier, M., Klink, D., Topp, T., & Hobiger, T. (2025). A resilient navigation system for autonomous urban air mobility using low-cost hardware.
    4. Stucke, M. B., Krückel, R., Ghribi, A., & Hobiger, T. (2025). Precise Orbit Determination of Constellations and VLEO Satellites with PODCAST 2.0.
    5. Topp, T., Maier, M., Hobiger, T., & Becker, D. (2025). INSTINCT: a flow-based open-source PNT framework for satellite navigation and sensor fusion. GPS Solutions, 29, Article 171. https://doi.org/10.1007/s10291-025-01927-4

  3. 2024

    1. Gutsche, K., Hobiger, T., & Winkler, S. (2024). Addressing Inaccurate Phase Center Offsets in Precise Orbit Determination for Agile Satellite Missions. NAVIGATION: Journal of the Institute of Navigation, 71, Article 4. https://doi.org/10.33012/navi.671
    2. He, S., Hobiger, T., & Becker, D. (2024). Improving PPP positioning and troposphere estimates using an azimuth-dependent weighting scheme. GPS Solutions, 28, Article 212. https://doi.org/10.1007/s10291-024-01754-z
    3. He, S., Hobiger, T., & Becker, D. (2024). The B-spline mapping function (BMF): representing anisotropic troposphere delays by a single self-consistent functional model. Journal of Geodesy, 98, Article 61. https://doi.org/10.1007/s00190-024-01864-z
    4. Maier, M., Hobiger, T., & Topp, T. (2024, May). Improving navigation resilience by using B-splines in the sensor fusion of multiple inertial measurement units.
    5. Maier, M., Hobiger, T., & Topp, T. (2024, May). Improving navigation resilience by using B-splines in the sensor fusion of multiple inertial measurement units. European Navigation Conference.
    6. Maier, M., Hobiger, T., & Topp, T. (2024, October). Robust navigation during GNSS outages by fusing multiple inertial measurement units with B-splines. Positioning and Navigation for Intelligent Transport Systems (POSNAV 2024).
    7. Maier, M., Hobiger, T., & Topp, T. (2024, October). Robust navigation during GNSS outages by fusing multiple inertial measurement units with B-splines.
    8. Peitschat, P., Stucke, M. B., Hobiger, T., Gutsche, K., & Winkler, S. (2024). Improving precise orbit determination of swarm satellites by fusing precise baseline information.
    9. Sonnleitner, C., & Hobiger, T. (2024). Resilient ADS-B based airspace surveillance by means of TDOA.
    10. Stucke, M. B., Peitschat, P., Gutsche, K., Hobiger, T., & Winkler, S. (2024). Addressing Stochastic Consistency for Fusing Absolute and Relative Orbit Determination for Satellite Swarms: Vol. Proceedings of the 37th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+ 2024).
    11. Stucke, M. B., Peitschat, P., Gutsche, K., Hobiger, T., & Winkler, S. (2024). Compensation of dynamic mismodeling by fusing satellite swarm PODs.
    12. Topp, T., & Hobiger, T. (2024). (Multi-constellation) GNSS/INS data fusion through flow-based programming utilizing the open-source PNT framework INSTINCT.
    13. Wang, R., Marut, G., Hadaś, T., & Hobiger, T. (2024). Improving GNSS Meteorology by Fusing Measurements of Several Colocated Receivers on the Observation Level. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 17, 7841–7851. https://doi.org/10.1109/JSTARS.2024.3381792

  4. 2023

    1. Gutsche, K., Hobiger, T., & Winkler, S. (2023). Addressing Inaccurate Phase Center Offsets in Precise Orbit Determination for Agile Satellite Missions. Proceedings of the 36th International Technical Meeting of the Satellite Division of the Institute of Navigation (ION GNSS+ 2023), 3205–3216. https://doi.org/10.33012/2023.19258
    2. Maier, M., Hobiger, T., Topp, T., & Thomas, M. (2023, May). Resilient navigation through a novel fusion approach for multiple inertial measurement units. European Navigation Conference.
    3. Maier, M., Hobiger, T., Topp, T., & Thomas, M. (2023, May). Resilient navigation through a novel fusion approach for multiple inertial measurement units. European Navigation Conference.
    4. Maier, M., Hobiger, T., Topp, T., & Thomas, M. (2023, May). Resilient navigation through a novel fusion approach for multiple inertial measurement units.
    5. Shengping He, Thomas Hobiger, & Doris Becker. (2023). Modelling asymmetric troposphere delays by means of B-splines.
    6. Sonnleitner, C., & Hobiger, T. (2023). Airspace surveillance with unsynchronized low-cost ADS-B receivers using time difference of arrival observations.
    7. Sonnleitner, C., & Hobiger, T. (2023). Airspace Surveillance with Unsynchronized low-cost ADS-B Receivers using Time Difference of Arrival Observations.
    8. Stucke, M. B., Hobiger, T., Möller, G., Gutsche, K., & Winkler, S. (2023). Exploitation of a Low-Cost Off-The-Shelf GNSS Receiver for Coupled Baseline and Attitude Estimation.
    9. Stucke, M. B., Hobiger, T., Möller, G., Gutsche, K., & Winkler, S. (2023). Multi-Receiver Precise Baseline Determination: Coupled Baseline an Attitude Estimation with a Low-Cost Off-The-Shelf GNSS Receiver: Vol. Proceedings of the 36th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+ 2023) (Pp. 3082–3095). https://doi.org/10.33012/2023.19469
    10. Wang, R., Hobiger, T., Marut, G., & Hadas, T. (2023, May). Improving GNSS meteorology by fusing measurements of multi-receiver sites on the observation level. https://doi.org/10.5194/egusphere-egu23-3364
    11. Wang, R., Becker, D., & Hobiger, T. (2023). Interval bounding analysis for precise point positioning.
    12. Wang, R., Becker, D., & Hobiger, T. (2023). Stochastic modeling with robust Kalman filter for real-time kinematic GPS single-frequency positioning. GPS Solutions, 27, Article 3. https://doi.org/10.1007/s10291-023-01479-5

  5. 2022

    1. Gutsche, K., Hobiger, T., Winkler, S., & Stucke, B. (2022). PODCAST: Precise Orbit Determination Software for LEO Satellites. Proceedings of the 35th International Technical Meeting of the Satellite Division of the Institute of Navigation (ION GNSS+ 2022), 3707–3719.
    2. Shengping He, Doris Becker, & Thomas Hobiger. (2022). The impact of GNSS multipath errors on ZTD estimates based on PPP. https://doi.org/10.5281/zenodo.7326314
    3. Topp, T., & Hobiger, T. (2022). Flow-Based Programming for Real-Time Multi-Sensor Data Fusion. Proceedings of the 35th International Technical Meeting of the Satellite Division of the Institute of Navigation (ION GNSS+ 2022), 2492–2502.

  6. 2021

    1. Hadas, T., Marut, G., Kaplon, J., & Rohm, W. (2021). Determination of water vapor content using low-cost dual-frequency GNSS receivers. https://youtu.be/qbbRnNPZHLo
    2. Hadas, T., Wielgocka, N., Kaczmarek, A., & Marut, G. (2021). Precise positioning using low-cost dual-frequency GNSS receivers. https://youtu.be/WHm-kuTn6MU
    3. Hadas, T., Marut, G., Kaplon, J., & Rohm, W. (2021). Real-time and near real-time ZTD from a local network of low-cost dual-frequency GNSS receivers. https://youtu.be/3cjWx0ML48I
    4. Hadas, T., Bender, M., Marut, G., & Hobiger, T. (2021). Real-Time GNSS Meteoroogy in Europe - Hurricane Lorenzo Case Study. https://youtu.be/G8byg-CLv-s
    5. Hadaś, T., Wielgocka, N., Kaczmarek, A., & Marut, G. (2021). Precise positioning using low-cost dual-frequency GNSS receivers. https://youtu.be/WHm-kuTn6MU
    6. Wielgocka, N., Hadas, T., Kaczmarek, A., & Marut, G. (2021). Feasibility of Using Low-Cost Dual-Frequency GNSS Receivers for Land Surveying. Sensors, 21, Article 6. https://doi.org/10.3390/s21061956

  7. 2020

    1. Geremia-Nievinski, F., Hobiger, T., Haas, R., Liu, W., Strandberg, J., Tabibi, S., Vey, S., Wickert, J., & Williams, S. (2020). SNR-based GNSS reflectometry for coastal sea-level altimetry: results from the first IAG inter-comparison campaign. Journal of Geodesy, 94, Article 8. https://doi.org/10.1007/s00190-020-01387-3
    2. Hadas, T., & Hobiger, T. (2020). Benefits of Using Galileo for Real-Time GNSS Meteorology. IEEE Geoscience and Remote Sensing Letters, 1–5. https://doi.org/10.1109/LGRS.2020.3007138
    3. Hadas, T., & Hobiger, T. (2020). Benefits of Using Galileo for Real-Time GNSS Meteorology. IEEE Geoscience and Remote Sensing Letters. https://doi.org/10.1109/LGRS.2020.3007138
    4. Hadas, T., & Hobiger, T. (2020). Contribution of Galileo to real-time GNSS meteorology.
    5. Hadas, T., & Hobiger, T. (2020). Contribution of Galileo to real-time GNSS meteorology.
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