Analysis and prediction of electromagnetic interference behavior level in power distribution network of UAV positioning system

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%.