CV

EDUCATION

• Ph.D in Satellite Communication and Navigation, The Hong Kong Polytechnic University, 2025
• M.S. in Pattern Recognition and Intelligent System, Wuhan University, 2021
• B.S. in Communication Engineering, Wuhan University, 2018

HONORS & AWARDS

• Best Student Paper Award in ION GNSS+ 2024 (2024)
• HKSAR Government Scholarship Fund - Reaching Out Award(2024)
• ION Student Registration Grants (2023)
• PolyU Presidential PhD Fellowship (2021)
• Postgraduate Scholarship (2019)
• Excellent Bachelor’s Thesis (2018)
• National Encouragement Scholarship (2017)
• Second Price in National College Student Intelligent Car Race (2017)
• First Price in National Undergraduate Electronics Design Contest (2017)

RESEARCH INTEREST

• Non-Gaussian error modeling, fault detection and integrity monitoring for localization systems
• Control-aided localization for autonomous vehicles in extreme conditions
• Intelligent transportation systems

PUBLICATIONS

Jackknife ARAIM: Efficient GNSS Integrity Monitoring for Simultaneous Faults under Non-Gaussian Errors

Yan, P., Jin, R., Zhang, J., Wang, C., & Hsu, L. T. (2026). "Jackknife ARAIM: Efficient GNSS Integrity Monitoring for Simultaneous Faults under Non-Gaussian Errors". Aerospace Systems.

Cauchy-Gaussian Overbound for Heavy-tailed GNSS Measurement Errors

Li, Z., Yan, P., Wen, W., & Hsu, L. T. (2026). "Cauchy-Gaussian Overbound for Heavy-tailed GNSS Measurement Errors". NAVIGATION: Journal of the Institute of Navigation.

Multiple Faults Isolation For Multi-Constellation GNSS Positioning through Incremental Expansion of Consistent Measurements

Yan, P., Hu, Y., Wen, W., & Hsu, L. T. (2025). "Multiple Faults Isolation For Multi-Constellation GNSS Positioning through Incremental Expansion of Consistent Measurements". IEEE Sensors Journal, 25(4), https://doi.org/10.1109/JSEN.2024.3524434

Fault Detection Algorithm for Gaussian Mixture Noises:An Application in LiDAR/IMU Integrated Localization System

Yan, P., Li, Z., Huang, F., Wen, W., & Hsu, L. T. (2024). "Fault Detection Algorithm for Gaussian Mixture Noises: An Application in LiDAR/IMU Integrated Localization Systems". NAVIGATION: Journal of the Institute of Navigation, 72(1), https://doi.org/10.33012/navi.684

Jackknife test for faulty GNSS measurements detection under non-Gaussian noises

Yan, P. (2024). "Jackknife test for faulty GNSS measurements detection under non-Gaussian noises". In ION GNSS+ 2024 (pp. 1619-1641), https://doi.org/10.33012/2024.19837

Principal Gaussian Overbound for Heavy-tailed Error Bounding

Yan, P., Zhong, Y., & Hsu, L. T. (2024). "Principal Gaussian Overbound for Heavy-tailed Error Bounding". IEEE Transactions on Aerospace and Electronic Systems, 61(1), 829-852, http://dx.doi.org/10.1109/TAES.2024.3448405

Subspace-based Adaptive GMM Error Modeling for Fault-Aware Vehicular GNSS Positioning in Urban Canyons

Yan, P., Xia, X., Brizzi, M., Wen, W., & Hsu, L. T. (2024). "Subspace-based Adaptive GMM Error Modeling for Fault-Aware Pseudorange-based Positioning in Urban Canyons". IEEE Transactions on Intelligent Vehicles, http://dx.doi.org/10.1109/TIV.2024.3450198

Bounding the Heavy-tailed DGNSS Error by Leveraging Membership Weights Analysis of Gaussian Mixture Model

Yan, P., Zhong, Y., & Hsu, L. T. (2024, April). "Bounding the Heavy-Tailed Pseudorange Error by Leveraging Membership Weights Analysis of Gaussian Mixture Model". In Proceedings of the ION 2024 Pacific PNT Meeting (pp. 541-555).

A Fault Detection Algorithm for LiDAR/IMU Integrated Localization Systems with Non-Gaussian Noises

Yan, P., Wen, W., Huang, F., & Hsu, L. T. (2024). "A Fault Detection Algorithm for LiDAR/IMU Integrated Localization Systems with Non-Gaussian Noises". In Proceedings of the 2024 International Technical Meeting of The Institute of Navigation (pp. 561-574).

Integration of Vehicle Dynamic Model and System Identification Model for Extending the Navigation Service Under Sensor Failures

Yan, P., Wen, W., & Hsu, L. T. (2023). "Integration of Vehicle Dynamic Model and System Identification Model for Extending the Navigation Service Under Sensor Failures". IEEE Transactions on Intelligent Vehicles, 9(1), 2236-2248, https://doi.org/10.1109/TIV.2023.3273185

Extending Navigation Service under Sensor Failures: An Approach by Integrating System Identification and Vehicle Dynamic Model

Yan, P., Hsu, L. T., & Wen, W. (2023). "Extending Navigation Service under Sensor Failures: An Approach by Integrating System Identification and Vehicle Dynamic Model". In 2023 IEEE/ION Position, Location and Navigation Symposium (PLANS) (pp. 630-636). IEEE.

Integration of Vehicle Dynamic Model and System Identified Model for Navigation in Autonomous Mobile Robots

Yan, P., Hsu, L. T., & Wen, W. (2023, January). "Integration of Vehicle Dynamic Model and System Identified Model for Navigation in Autonomous Mobile Robots". In Proceedings of the 2023 International Technical Meeting of The Institute of Navigation (pp. 153-160).

PATENTS

• Jia, T & Yan, P. (2020). Self-adaptive compact image segmentation method of vector road network. (China, CN111815636A).
• Jia, T & Yan, P. (2020). Urban road traffic flow prediction method and device based on space-time deep learning mode. (China, CN111009129A).