• High Power Laser and Particle Beams
  • Vol. 35, Issue 5, 053001 (2023)
Daojie Yu1, Shuntian Lei1, Kai He1、*, Xia Zhang1, Baisen Guo1、2, and Mengjuan Chai1
Author Affiliations
  • 1School of Information System Engineering, Strategic Support Force Information Engineering University, Zhengzhou 450000, China
  • 2School of Cyberspace Security, Zhengzhou University, Zhengzhou 450000, China
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    DOI: 10.11884/HPLPB202335.220352 Cite this Article
    Daojie Yu, Shuntian Lei, Kai He, Xia Zhang, Baisen Guo, Mengjuan Chai. Analysis and prediction of electromagnetic interference behavior level in power distribution network of UAV positioning system[J]. High Power Laser and Particle Beams, 2023, 35(5): 053001 Copy Citation Text show less

    Abstract

    Power distribution network is the basic unit of unmanned aerial vehicle (UAV) positioning system, but also the weak link of electromagnetic interference (EMI). The conduction coupling interference effect of power distribution network (PDN) is the main cause of positioning system failure. To improve the accuracy of positioning system sensitivity of electromagnetic interference prediction model, based on the Taylor series description method for nonlinear systems, the Taylor series behavior level model coefficient is characterized as interference frequency related function, thus a UAV positioning system PDN electromagnetic interference response prediction model is established, which analyzes and predicts PDN’s nonlinear dc bias voltage under the circumstance of interference. The results show that the Taylor series based PDN EMI response prediction model can accurately predict the nonlinear DC bias of PDN under 250-400 MHz EMI, and the prediction error is within 3%.
    Daojie Yu, Shuntian Lei, Kai He, Xia Zhang, Baisen Guo, Mengjuan Chai. Analysis and prediction of electromagnetic interference behavior level in power distribution network of UAV positioning system[J]. High Power Laser and Particle Beams, 2023, 35(5): 053001
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