视距环境下基于改进鸟群优化算法的TDOA定位方法  

TDOA Location Method Based on Improved Bird Swarm Optimization Algorithm in Line-of-sight Environment

作　　者：杨曼 任志国[1] 薛盼盼 YANG Man;REN Zhiguo;XUE Panpan(School of Information Engineering,Lanzhou City University,Lanzhou Gansu 730070)

机构地区：[1]兰州城市学院信息工程学院,甘肃兰州730070

出　　处：《甘肃高师学报》2024年第5期18-22,共5页Journal of Gansu Normal Colleges

基　　金：兰州城市学院艾黎学科建设计划“学科:电子信息(0854)”.

摘　　要：针对视距环境下到达时间差定位中遇到的非线性方程组解算复杂问题,提出了一种基于改进鸟群优化算法的到达时间差定位方法.利用Chebyshev混沌映射对算法进行初始化,提高了初始解的质量,增强了种群的多样性.实验结果表明,与采用其他混沌映射的鸟群优化算法相比,改进鸟群优化算法在求解到达时间差定位方法的非线性方程组最优解的问题上具有更低的定位误差.A time difference of arrival(TDOA)location method based on improved bird swarm algorithm is proposed to solve the problem of complex solution of nonlinear equations in time difference of arrival location in line-of-sight environment.Chebyshev chaotic map is used to initialize the algorithm,which improves the quality of initial solution and enhances the diversity of population.Experimental results show that improved bird swarm optimization algorithm has lower positioning error in solving the optimal solution of TDOA nonlinear equations than other chaotic mapping algorithms.

关 键 词：到达时间差 智能优化算法 鸟群优化算法 混沌映射 

分 类 号：TN929.5[电子电信—通信与信息系统]