首页|异空域场景下飞行器集群协同导航构型优化方法

异空域场景下飞行器集群协同导航构型优化方法

扫码查看
针对异空域场景下飞行器集群协同导航问题,提出了一种结合时差几何精度因子(TD-GDOP)与改进的协同粒子群优化(ICPSO)算法的异空域飞行器集群构型优化方案.首先,根据飞行器集群间的信号到达时间差建立协同导航模型,在此基础上定义了时差几何精度因子,并将其作为适应度函数,设计了异空域飞行器集群构型优化方案,利用改进的协同粒子群优化算法对异空域分布的基准飞行器集群构型进行优化,提高了对卫星拒止区域内待辅助飞行器的协同定位性能.仿真结果表明,相较于未进行构型优化与利用传统粒子群算法进行构型优化的协同导航方案,所提方案将三架待辅助飞行器的平均协同定位精度分别提升了 70.4%及57.0%.
Configuration optimization method of aircraft cluster collaborative navigation in different air domains
Aiming at the problem of collaborative navigation of aircraft clusters distributed in different air domains,a configuration optimization method that combines the time difference-geometric dilution of precision(TD-GDOP)and the improved collaborative particle swarm optimization(ICPSO)algorithm is proposed.Firstly,a collaborative navigation model is established based on the TDOA measurements between aircraft clusters.On this basis,TD-GDOP is defined and used as a fitness function to design the configuration optimization scheme for the aircraft clusters in different air domains.The configuration of reference aircraft clusters in different air domains is optimized using the proposed ICPSO algorithm,which enhances the collaborative positioning performance of aircrafts in GNSS-Denial areas.Simulation results show that the proposed method improves the average collaborative positioning accuracy of the three aircrafts to be assisted by 70.4% and 57.0% respectively,compared with the collaborative navigation scheme without configuration optimization and the other scheme using the traditional PSO algorithm for configuration optimization.

aircraft clusterconfiguration optimizationcollaborative navigationTDOAparticle swarm optimization

王融、王思晨、胡博、魏帅迎、包文龙、杜雨桐

展开 >

南京航空航天大学 自动化学院导航研究中心,南京 211106

航天时代飞鸿技术有限公司,北京 102100

飞行器集群 构型优化 协同导航 到达时间差 粒子群算法

2024

中国惯性技术学报
中国惯性技术学会

中国惯性技术学报

CSTPCD北大核心
影响因子:0.792
ISSN:1005-6734
年,卷(期):2024.32(11)