摘要
测速定轨体制下弹道参数估计的精度与布站几何的关系不同于传统的测距测速体制。从定轨的原理出发,分析测速体制下布站几何对弹道参数估计精度的影响,并采用遗传算法,在一定空域范围内无约束搜索和给定备选站址中的搜索两种应用背景下,进行布站几何的优化。在遗传算法的设计中,还考虑了不同适应度函数的选取及算法的稳定性等问题。仿真实验表明本文的方法优化效果显著。
In the system of orbit determining by use of rate data, the relationship between the accuracy of the estimation and the distribution geometry of stations was different from the one in conventional system which was based on measurements of rang and rang rate. In this paper, we began with the principle of orbit determining by use of rate data, analysed how the distribution geometry impact the accuracy of the estimation , and utilized the genetic algorithm to optimize the distribution geometry in two backgrounds, one was the unconstrained search in certain space, and the other was the search in some given stations. In the design of genetic algorithm, we considered the selection of different fitness functions and the robustness of the algorithm and so on. The simulation indicates that the effect of optimization is evident.
出处
《宇航学报》
EI
CAS
CSCD
北大核心
2007年第1期53-57,93,共6页
Journal of Astronautics
基金
国家自然科学基金(60572136)
全国优秀博士论文作者专项资助基金(200140)
关键词
测速定轨
误差传播
布站几何
遗传算法
优化设计
Orbit determining by use of rate data
Error propagation
Genetic algorithm
Distribution geometry of stations
Optimization
