摘要
针对三星时差(Time Difference of Arrival,TDOA)定位系统中参考站最优布站问题,提出了一种基于粒子群优化算法的三星时差定位系统最优布站技术。首先推导了星历误差和时间同步误差条件下三星时差定位系统的克拉美罗界(Cramer-Rao Lower Bound,CRLB),然后以定位系统CRLB为衡量指标,将参考站最优布站问题转化为约束条件下的多维寻优问题;最后采用粒子群优化算法(Particle Swarm Optimization,PSO)求解目标函数,从而得到参考站的最优布站策略。仿真结果表明,所提算法可以准确解算出参考站的最优布站形式,且当采用最优布站时,仅需要两参考站就可基本消除星历误差和时间同步误差对定位系统的影响。
An optimum strategy of reference station placement for tri-satellite TDOA localization based on particle swarm optimization is proposed to improve localization accuracy by using reference stations more efficiently.Firstly,CRLR of tri-satellite TDOA localization system with ephemeris error and synchronization error was derived.Then,optimum strategy of reference station placement was transformed to multidimensional constraint optimization problem by using CRLB as the criterion for performance of tri-satellite TDOA localization system.Finally,optimum strategy of reference station placement was obtained by using particle swarm optimization to solve the target function.Simulation results demonstrate that the proposed method can derive optimum strategy of reference station placement validly.Besides,when the optimum strategy of reference station placement is applied,only two reference stations are demanded to eliminate the effect of ephemeris error and synchronization error on localization accuracy.
作者
任凯强
孙正波
王维超
REN Kai-qiang;SUN Zheng-bo(National Key Laboratory of Science and Technology on Blind Signal Processing,Chengdu Sichuan 610041,China)
出处
《计算机仿真》
北大核心
2020年第8期26-29,260,共5页
Computer Simulation
关键词
三星时差定位系统
星历误差
时间同步误差
参考站最优布站
克拉美罗界
粒子群优化
Tri-satellite time difference of arrival(TDOA)localization system
Ephemeris Error
Synchronization error
Optimum strategy of reference station placement
Cramer-rao lower bound(CRLB)
Particle swarm optimization(PSO)
