2012.09-2016.06，东南大学仪器科学与工程学院（测控技术与仪器、工商管理），学士

2016.09-2018.06，东南大学仪器科学与工程学院（仪器科学与技术），硕转博

2018.09-2022.12，东南大学仪器科学与工程学院（仪器科学与技术），博士

2021.01-2021.12，赫尔辛基大学，芬兰（时空数据分析课题组），联培博士 and Research Assistant

芬兰赫尔辛基大学Postdoctoral Researcher

1.GNSS卫星导航接收机技术：基带信号处理、卡尔曼跟踪与矢量跟踪环路、多路径抑制、软件无线电等；

2.深耦合组合导航系统：高动态、抗干扰条件下卫星/惯性深耦合原理实现与系统开发，最优估计与优化理论；

3.基于深度学习、电磁指纹的卫星干扰识别与干扰源定位技术。

1.       Zhe Yan and Laura Ruotsalainen. GNSS jammer localization in urban areas based on prediction/optimization and ray-tracing. GPS Solutions, volume 29, pages 1–20, January 2025.

2.       Kaiyu Sheng, Xiyuan Chen, Xinhua Tang, Zhe Yan, and Ning Gao. Design of a tracking loop using adaptive strong tracking kalman filter in GNSS receivers. Chinese Journal of Sensors and Actuators, volume 37, pages 35–41, January 2024.

3.       Ning Gao, Xiyuan Chen, Zhe Yan, and Zhiyuan Jiao. Performance enhancement and evaluation of a vector tracking receiver using adaptive tracking loops. Remote Sensing, volume 16, page 1836, May 2024.

4.       Zhe Yan, Laura Ruotsalainen, Xiyuan Chen, and Xinhua Tang. An INS-assisted vector tracking receiver with multipath error estimation for dense urban canyons. GPS Solutions, volume 27, pages 1–16, March 2023.

5.       Zhe Yan, Xiyuan Chen, Xinhua Tang, and Xuefen Zhu. Design and performance evaluation of the improved INS-assisted vector tracking for the multipath in urban canyons. IEEE Transactionson Instrumentation and Measurement, volume 71, pages 1–16, September 2022.

6.       Zhe Yan, Xiyuan Chen, Xinhua Tang, and Laura Ruotsalainen. A novel carrier loop based on adaptive LM-QN method in GNSS receivers. IEEE Transactions on Vehicular Technology, volume 71, pages 5259–5271, May 2022.

7.       Zhe Yan, Xiyuan Chen, and Xinhua Tang. A novel linear model based on code approximation for GNSS/INS ultra-tight integration system. Sensors, volume 20, page 3192, June 2020.

8.       Zhe Yan, Outi Savolainen, Xinhua Tang, and Laura Ruotsalainen. Simultaneous classification and searching method for jammer localization in urban areas using KNN-GSA and ray-tracing. In 37th International Technical Meeting of the Satellite Division of The Institute of Navigation(ION GNSS+ 2024), pages 3361–3374, Baltimore, Maryland, September 2024.

9.       Xinhua Tang, Xinmin Zhu, Shuguo Pan, Tao Zhang, Zhe Yan, and Laura Ruotsalainen. Investigating delay compensation within the context of frequency-aided PLL. In 2024 International Conference on Localization and GNSS (ICL-GNSS), pages 1–6, Antwerp, Belgium, June 2024.

10.    Xinhua Tang, Kepeng Luan, Zhe Yan, and Laura Ruotsalainen. The in-depth investigation of matched-spectrum jamming signals. In 37th International Technical Meeting of the SatelliteDivision of The Institute of Navigation (ION GNSS+ 2024), pages 3397–3405, Baltimore, Maryland, September 2024.

11.    Outi Savolainen, Titti Malmivirta, Zhe Yan, Aiden Morrison, and Laura Ruotsalainen. Towards jammer fingerprinting: The effect of the environment and the receiver to a jammer classification. In 2024 International Conference on Localization and GNSS (ICL-GNSS), pages 1–7, Antwerp, Belgium, June 2024.

12.    Ning Gao, Xiyuan Chen, Yuetong Wang, Zhiyuan Jiao, Chunfeng Shi, and Zhe Yan. A robust tracking loop using adaptive H∞ unscented kalman filter in GNSS receivers. In 2024 14thInternational Conference on Indoor Positioning and Indoor Navigation (IPIN), pages 1–6, Kowloon, Hong Kong, October 2024.

13.    Zhe Yan, Ahmed Al-Tahmeesschi, Titti Malmivirta, and Laura Ruotsalainen. GNSS jammer localization in urban areas based on carrier-to-noise ratio and classification methods. In 2023International Conference on Localization and GNSS (ICL-GNSS), Proceedings of Work-in-Progressin Hardware and Software for Location Computation (WIPHAL 2023), pages 1–11, Castellon, Spain, June 2023.

14.    Ning Gao, Xiyuan Chen, Zhe Yan, and Kaiyu Sheng. Design and performance improvement of GNSS receivers based on robust cascade filter. In 2023 IEEE 6th International Conferenceon Electronic Information and Communication Technology (ICEICT), pages 491–495, Qingdao, China, July 2023.

15.    Zhe Yan, Laura Ruotsalainen, Ning Gao, and Xiyuan Chen. Vector-tracking-based GNSS/INS deep coupling and experiment platform for urban scenarios. In 2021 International Conference onSensing, Measurement and Data Analytics in the era of Artificial Intelligence (ICSMD), pages 1–6, Nanjing, China, October 2021.

16.    Zhe Yan, Xiyuan Chen, Xinhua Tang, and Xuefen Zhu. Performance and analysis for the carrier loop based on maximum likelihood in high dynamic scenarios. In 2020 8th InternationalConference on Control, Mechatronics and Automation (ICCMA), pages 191–196, Moscow, Russia, November 2020.

17.    Zhe Yan, Xiyuan Chen, Xinhua Tang, and Xuefen Zhu. The implementation and comparison between Kalman filter-based and vector tracking loops. In 2020 International Conference onSensing, Measurement and Data Analytics in the era of Artificial Intelligence (ICSMD), pages 45–50, Xi’an, China, October 2020.

18.    Di Liu, Xiyuan Chen, Xiao Liu, and Zhe Yan. A novel INS/CNS/GNSS integrated navigation algorithm. In 2020 International Conference on Sensing, Measurement and Data Analytics in theera of Artificial Intelligence (ICSMD), pages 137–140, Xi’an, China, October 2020.

19.    闫晣, 陈熙源, 汤新华, 祝雪芬. 一种新型GNSS/INS深耦合方法及实验分析[C]//第十一届中国卫星导航年会, 成都, 中国, 2020.

ICCMA2020-2025 Technical Committee, GPS Solutions、IEEE TVT、ISA Trans、Remote Sensing等审稿人。

硕士

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