Electric Power ›› 2021, Vol. 54 ›› Issue (8): 83-90.DOI: 10.11930/j.issn.1004-9649.202010061

Previous Articles     Next Articles

An Efficient Positioning Algorithm Based on UWB and IMU Fusion in Electric Power Operation Scenes

YIN Kangyong1, LIANG Wei1, YANG Jibin2, SUN Zhiming1, ZHU Mengzhou1, XIAO Peng1   

  1. 1. Jiangsu Electric Power Research Institute Corporation Limited, Nanjing 211103, China;
    2. Command and Control School, Army Engineering University, Nanjing 210007, China
  • Received:2020-10-21 Revised:2021-01-17 Published:2021-08-05
  • Supported by:
    This work is supported by National Natural Science Foundation of China (Study of the Three-Dimensional Conformal Heterojunction Photodetectors Based on Transition Metal Sulfide, No.61904116)

Abstract: In complex environments such as electric power operation scenes, the performance of ultra wideband (UWB) positioning is seriously degraded due to non line of sight (NLOS) scenarios. The integration of UWB and inertial measurement unit (IMU) can improve the positioning accuracy, but there is error accumulation in IMU measurement, which requires accurate UWB measurement correction. Accurate identification and utilization of NLOS conditions is helpful to improve the positioning accuracy. In this paper, a UWB/IMU fusion algorithm based on extended Kalman filter (EKF) is proposed, which uses the distribution of UWB measurements in electric power operation scenes to determine NLOS conditions and mitigate errors, thus effectively improving the positioning accuracy under NLOS conditions. The proposed algorithm has good usability since it does not need prior knowledge of the environment and IMU correction. Theoretical and practical experimental results show that the performance of the proposed algorithm is superior to other baseline systems.

Key words: radio positioning, ultra wideband, inertial measurement unit, extend Kalman filter, electric operation