摘要
位置估计在海上无线网络计算系统中具有重要意义。考虑到达时间差/到达角混合定位算法测量误差的影响以及定位估计中遇到的非线性优化问题,提出一种基于混沌理论的粒子群优化算法。该算法以移动位置估计的TDOA/AOA混合定位算法为研究对象,提高了移动位置估计的定位性能和精度。通过极大似然法得到移动站的估计函数,将移动站的估计函数作为适应度函数生成PSO的初始种群。采用混沌优化粒子群优化算法求解群体位置的最优解,得到移动站的最优位置估计,使TDOA/AOA定位算法具有更好的定位性能。仿真结果表明所提算法能够降低误差对定位精度的影响,实现全局和局部搜索能力的平衡,具有更快的收敛速度和更精确的定位精度。
Position estimation is of great importance in maritime wireless network computing systems.Considering the effect of the measurement error of the time difference of arrival(TDOA)/angle of arrival(AOA)hybridpositioning algorithm as well as the nonlinear optimization problem encountered in the position estimation,a particle swarm optimization(PSO)algorithm based on the Chaos Theory is proposed.Taking the TDOA/AOA hybrid localization algorithm for mobile position estimation as the research object,this algorithm significantly improves localization performance and accuracy of mobile position.Firstly,the estimation function of the mobile station is obtained by using the maximum likelihood method.This estimation function of mobile station is used as the fitness function to generate the initial population of PSO.The optimal solution of the swarm position is solved by chaotic particle swarm optimization(CPSO)algorithm to get the optimal position estimation of the mobile station,which endow the TDOA/AOA positioning algorithm with superior localization performance.The simulation results demonstrate that the proposed algorithm is able to reduce the influence of error on the localization accuracy,achieve the balance of global and local search ability,and have faster convergence speed and more precise localization accuracy.
作者
田咪咪
吴昊
汤洋
TIAN Mimi;WU Hao;TANG Yang(Wuhan University of Technology and Business,Wuhan 430065,China;College of Power Engineering,Naval University.of Engineering,Wuhan 430033,China;Unit 92721 of PLA,Zhoushan 316000,China)
出处
《火力与指挥控制》
北大核心
2025年第8期129-136,共8页
Fire Control & Command Control
关键词
定位算法
粒子群优化
混沌理论
到达时差
到达角
TDOA/AOA
positioning algorithm
particle swarm optimization
chaos theory
time difference of arrival
angle of arrival
TDOA/AOA
