摘要
针对伪卫星布站问题,采用粒子群智能优化算法,以导航定位中精度因子作为粒子群适应度函数,采用线性递减惯性权值策略,通过适当次数的进化与迭代,最终寻找到最优化的伪卫星布站设计方案。通过对两条竖直平面内的抛物线轨迹进行仿真验证,结果表明,基于粒子群算法的伪卫星布站优化设计方案可以减小全程精度因子,提高了伪卫星独立定位系统的定位精度。
For pseudo-satellite station problem, we adopt the particle swarm algorithm which has the function of intelligent optimization. We use the accuracy factor of navigation and positioning as the fitness function of the particle swarm, with a linear decreasing inertia weight strategy and the appropriate number of evolution and iterative, eventually to find optimal design of pseudolite station. We use two parabolic trajectories in the vertical planes for simulation, the results show that, the station design scheme for pseudo-satellite based on particle swarm optimization algorithm can reduce the whole precision factor, and improve the positioning accuracy of independent pseudo-satellite positioning system. Key words： Particle swarm algorithm; Linear decreasing inertia weight strategy; Pseudo-satellite station
出处
《导航定位与授时》
2015年第5期44-51,共8页
Navigation Positioning and Timing
基金
国家863项目基金(2013AA122403)
关键词
粒子群算法
线性递减惯性权值策略
伪卫星布站
Particle swarm algorithm
Linear decreasing inertia weight strategy
Pseudo-satellite station
