基于粒子滤波器模型的无人机北斗抗欺骗式干扰技术

Anti-Spoofing Technology of BDS in UAV Based on Particle Filter Model

卫星欺骗式干扰会影响到电力无人机自主巡检的效率。文章研究无人机作业的动态情况下北斗抗欺骗式干扰技术。首先,对于无人机飞行作业的高动态性,引入了粒子滤波器模型以提高无人机的定位和测速性能;然后,针对欺骗式干扰的特点,建立抗欺骗式干扰方案,方案主要包括欺骗式干扰检测和识别2个部分;最后,通过仿真无人机飞行和欺骗式干扰环境进行实验。结果显示,在无人机动态情况下,基于粒子滤波器模型的定位和测速精度较传统的最小二乘法均有显著的提高;设计的无人机抗欺骗检测和识别方案有效抑制和减少了欺骗信号对无人机定位的影响,进而提高了无人机自主巡检的可靠性。

The anti-spoofing technology of BDS is related to the(UAV)patrol efficiency.This paper studies the anti spoofing technology of BDS(BeiDou Navigation Satellite System)under the condition of UAV patrol.Firstly,for the high dynamics of UAV(unmanned aerial vehicles)patrol,this paper introduces the particle filter model to improve the positioning and velocity estimation performance of UAV.Furthermore,an anti-spoofing strategy is constructed accroding to the feature of satellite spoofing,which consists of signal detection and identification.By simulating UAV patrol and spoofing environment,the experimental results show that:(1)under the condition of the dynamic UAV,the positioning and velocity measurement performance based on particle filter model is significantly improved compared with the traditional least square method.(2)The anti-spoofing strategy of UAV patrol designed in this paper effectively suppresses and reduces the influence of spoofing signal on UAV positioning,and then improves the reliability of UAV patrol.