摘要
在开展无人机通信网络抗干扰最弱节点定位时,节点信号碰撞使其瞬时频率特征发生不规则变化,导致节点定位效果不佳,设计基于碰撞思维的无人机通信抗干扰最弱节点定位算法。构建无人机通信网络节点信号碰撞思维解析模型,提取信号碰撞过程中抗干扰节点信号的瞬时频率特征。根据瞬时频率特征和DV-hop算法建立通信节点与通信距离之间的关系模型,确定抗干扰最弱节点与锚节点之间的平均跳距和平均跳数,获取无人机通信抗干扰最弱节点具体位置,实现节点定位。实验结果表明:所设计算法的通信节点覆盖较高,节点信号瞬时频率特征提取效果好,节点定位均方根误差最大值仅为0.45 m,说明该算法的无人机通信抗干扰最弱节点定位效果好。
When positioning the weakest anti-jamming node of UAV communication network,the node signal collision causes irregular changes in its instantaneous frequency characteristics,resulting in poor node positioning effect.Therefore,a positioning algorithm for the weakest anti-jamming node of UAV communication based on collision thinking is designed.The analytical model of signal collision thinking of UAV communication network nodes is constructed,and the instantaneous frequency characteristics of anti-jamming node signals in the process of signal collision are extracted.According to the instantaneous frequency characteristics and DV-hop algorithm,the relationship model between the communication node and the communication distance is established,the average hop distance and the average hop number between the weakest anti-jamming node and the anchor node are determined,and the specific location of the weakest anti-jamming node of UAV communication is obtained to achieve node positioning.The experimental results show that the designed algorithm has a high coverage of communication nodes,good extraction effect of instantaneous frequency characteristics of node signals,and the maximum root mean square error of node location is only 0.45 m,which shows that the algorithm has a good effect of locating the weakest node in UAV communication anti-interference.
作者
袁开银
王庆江
YUAN Kaiyin;WANG Qingjiang(Modern Educational Technology Center,Henan University of Economics and Law,Zhengzhou 450046,China;School of Information Engineering,North China University of Water Resource and Electric Power,Zhengzhou 450046,China)
出处
《兵器装备工程学报》
CAS
CSCD
北大核心
2023年第11期287-292,共6页
Journal of Ordnance Equipment Engineering
基金
河南省重点研发与推广专项(212102210495)。
