海上多无人机协同交叉定位的优化配置方法  

Optimal Configuration Method for Maritime UAVs Cooperative DOA Localization

作　　者：林晓烘 程志锋[1] 于莹 左炜[1] 田威 LIN Xiao-hong;CHENG Zhi-feng;YU Ying;ZUO Wei;TIAN Wei(College of Electronic Engineering,Naval University of Engineering,Wuhan 430033,China)

机构地区：[1]海军工程大学电子工程学院,武汉430033

出　　处：《火力与指挥控制》2021年第12期9-14,共6页Fire Control & Command Control

基　　金：国家自然科学基金(61601491,61803379);湖北省自然科学基金(2016CFB349);中国博士后科学基金资助项目(2017M613370,2018T111129)。

摘　　要：针对多部无人机协同交叉定位,考虑无人机安全距离、通信距离和动力学约束条件下,解决多部无人机自动实现对飞行速度和角度的优化配置问题。提出了多机协同测向交叉定位方法,该方法先根据几何稀释度精度建立了不等式约束下的无人机运动参数单目标优化模型,再利用惩罚函数法将优化模型转换为无约束条件的极小值求解问题,最后利用粒子群优化算法获得各无人机飞行速度和角度估计值。仿真试验表明,该方法对不同无人机阵型和辐射源运动状态具有较强的适应性,相比直线飞行配置方法,其定位精度有较大的提高。Considering the safety distance,communication distance and dynamic constraints of cooperative DOA localization of UAVs,the automatic optimization of flight speed and angle configuration when multiple UAVs collaborate in direction finding location is to be solved.The multiple UAVs collaborative DOA localization method is proposed in this paper.Firstly,a single-objective optimization model of UAV motion parameters under inequality constraintsis established based on Geometric Dilution of Positioning Accuracy.Then,the penalty function method is used to convert the optimization model into an unconstrained minimum solution problem.Finally,the particle swarm optimization algorithm is utilized to estimate the values of flight speed and angle of each UAV.The simulation experiments show that this method has strong adaptability to different UAV formations and motion states of the radiation source,and its positioning accuracy is greatly improved compared with the straight-line flight configuration method.

关 键 词：无人机 交叉定位 粒子群优化算法 配置方法 

分 类 号：TN971[电子电信—信号与信息处理] TJ01[电子电信—信息与通信工程]