无人机定位系统电源分配网络电磁干扰行为级分析与预测  

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

作　　者：余道杰[1] 雷顺天 贺凯 张霞[1] 郭柏森 柴梦娟 Yu Daojie;Lei Shuntian;He Kai;Zhang Xia;Guo Baisen;Chai Mengjuan(School of Information System Engineering,Strategic Support Force Information Engineering University,Zhengzhou 450000,China;School of Cyberspace Security,Zhengzhou University,Zhengzhou 450000,China)

机构地区：[1]战略支援部队信息工程大学信息系统工程学院,郑州450000 [2]郑州大学网络空间安全学院,郑州450000

出　　处：《强激光与粒子束》2023年第5期38-44,共7页High Power Laser and Particle Beams

基　　金：国家自然科学基金项目(61871405)。

摘　　要：电源分配网络是无人机定位系统工作的基础单元,也是电磁干扰薄弱环节,电源分配网络(PDN)传导耦合干扰效应是导致定位系统故障的主要原因。为了提高定位系统电磁干扰敏感度预测模型的精度,基于泰勒级数对非线性系统的描述方法,将泰勒级数行为级模型系数表征为与干扰频率相关的函数,建立无人机定位系统PDN电磁干扰响应预测模型,分析预测PDN在受干扰情况下的非线性直流偏置电压。研究结果表明:在250~400 MHz电磁干扰范围内,基于泰勒级数的PDN电磁干扰响应预测模型可以对PDN在电磁干扰作用下的非线性直流偏置进行准确预测,预测误差在3%以内。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 powerdistribution network(PDN)is the main cause of positioning system failure.To improve the accuracy of positioningsystem sensitivity of electromagnetic interference prediction model,based on the Taylor series description method fornonlinear systems,the Taylor series behavior level model coefficient is characterized as interference frequency relatedfunction,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 showthat the Taylor series based PDN EMI response prediction model can accurately predict the nonlinear DC bias of PDNunder 250−400 MHz EMI,and the prediction error is within 3%.

关 键 词：无人机 定位系统 电源分配网络 电磁干扰 敏感度 泰勒级数 

分 类 号：TN972[电子电信—信号与信息处理]