水下无人系统学报2024，Vol.32Issue(6)：971-979,9.DOI:10.11993/j.issn.2096-3920.2024-0006
DoS攻击下基于水声传感器网络的目标追踪算法
Target Tracking Algorithm for Underwater Acoustic Sensor Networks under DoS Attack
摘要
Abstract
By considering the effect of underwater denial of service(DoS)attack and sound line stratification,the problem of target tracking based on an underwater acoustic sensor network(UASN)was studied in this paper.Firstly,a UASN architecture consisting of underwater sensors,surface buoys,and underwater targets was developed.Then,the underwater target movement model and the underwater DoS attack model were constructed,and an improved consensus-based unscented Kalman filter-(UKF)underwater target tracking algorithm was proposed.Finally,the Cramer-Rao lower bound of the algorithm was derived,and the effectiveness of the algorithm was proved.Simulation and experiments show that the proposed algorithm can track the target effectively in an underwater environment,and the consensus-based UKF algorithm improves tracking accuracy.关键词
水声传感器网络/无迹卡尔曼滤波/目标追踪/拒绝服务攻击Key words
underwater acoustic sensor networks/unscented Kalman filter/target tracking/denial of service attack分类
军事科技引用本文复制引用
闫敬,杨锦,杨晛,罗小元..DoS攻击下基于水声传感器网络的目标追踪算法[J].水下无人系统学报,2024,32(6):971-979,9.基金项目
国家自然科学基金(62222314) （62222314）
河北省自然科学基金(F2024203047,F2022203001,F2024203072) （F2024203047,F2022203001,F2024203072）
中央引导地方基金(226Z3201G). （226Z3201G）
