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Prof. Xiangbo Xu | Inertial Navigation Awards | Best Researcher Award 

Prof. Xiangbo Xu, Beijing Forestry University, China

Dr. Xiangbo Xu received his B.S. degree in Automation from Shandong University, Jinan, China, in 2006, and his Ph.D. degree in Precision Instrument and Machinery from Beijing University of Aeronautics and Astronautics, Beijing, China, in 2014. He is currently serving as a Professor at the School of Technology, Beijing Forestry University, Beijing. His research interests are focused on pedestrian inertial navigation and permanent magnet motor control in high-speed rotating machinery, contributing to advancements in precision engineering and control systems.

Professional Profile:

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Summary of Suitability for Best Researcher Award for Xiangbo Xu

Xiangbo Xu is a highly accomplished academic and researcher with a strong background in automation and precision instrumentation. He has made significant contributions to the fields of pedestrian inertial navigation, GNSS/INS/Barometer integration, and motor control in high-speed rotating machinery. His extensive body of work includes a variety of journal articles published in prestigious international journals such as IEEE Transactions on Instrumentation and Measurement, Sensors Journal, and Measurement Science and Technology.

Education:

  • B.S. degree in Automation (2006): Shandong University, Jinan, China.
  • Ph.D. degree in Precision Instrument and Machinery (2014): Beijing University of Aeronautics and Astronautics (Beihang University), Beijing, China.

Work Experience:

  • Professor: School of Technology, Beijing Forestry University, Beijing, China.

His research focuses on:

  • Pedestrian Inertial Navigation
  • Permanent Magnet Motor Control in high-speed rotating machinery.

Publication top Notes:

A Pedestrian Inertial Localization Method Based on Kinematic Constraints of Double Lower Limbs and Waist

The accuracy of vehicle position and heading angle improvement based on dual-antenna GNSS/INS/Barometer integration using extended Kalman filter

Multiperson Cooperative Navigation Based on Geometric Constraints of Foot-to-Foot and Person-to-Person Distances

Suppression of Multi-Harmonic Currents in the High-Speed Magnetically Suspended Motor Based on Adaptive Cascaded Notch Filters with Variable Phase Angle

Improving Vehicle Heading Angle Accuracy Based on Dual-Antenna GNSS/INS/Barometer Integration Using Adaptive Kalman Filter

 

 

Prof. Xiangbo Xu | Inertial Navigation Awards | Best Researcher Award

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