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光电经纬仪布站分析及优化
引用本文:崔书华,胡绍林,李果.光电经纬仪布站分析及优化[J].光学与光电技术,2007,5(5):12-15.
作者姓名:崔书华  胡绍林  李果
作者单位:1. 西安卫星测控中心,西安,710043
2. 西安卫星测控中心,西安,710043;南京理工大学通讯工程系,南京,210094
基金项目:国家自然科学基金 , 中国博士后科学基金
摘    要:以试验靶场中光电经纬仪设备的布站情况为例,通过数据仿真计算,分析了光测设备布站的跟踪测量数据处理精度和精度几何因子(Geometric Dilution of Precision,GDOP),为实时数据的可靠性分析以及外测事后数据处理精度分析提供了技术支持.并对设备的几何布站提出了利用遗传算法进行优化的设想,讨论了约束条件及适应度函数,为通过最优的多通道测量数据来交会计算最佳轨道参数提供了参考.

关 键 词:布站分析  布站优化  遗传算法  适应度函数
文章编号:1672-3392(2007)05-0012-04
收稿时间:2007/3/1
修稿时间:2007-03-01

Analysis and Optimization of Theodolite Station Distribution
CUI Shu-hua,HU Shao-lin.Analysis and Optimization of Theodolite Station Distribution[J].optics&optoelectronic technology,2007,5(5):12-15.
Authors:CUI Shu-hua  HU Shao-lin
Abstract:Taking the station distribution of photo-electric theodolite equipment in the test range for example data processing precision and GBOP of trajectory measurement are analyzed through using data simulation calculation and gained conclusions. These conclusions have provided the reliable technical support for real time data processing and post-flight data processing precision analysis of trajectory measurement. At the same time, the method of using genetic algorithms to optimize station distribution of equipment is and proposed the restriction condition and the fitness function are discussed. And if also provide the support for obtaining the best estimate of trajectory parameter.
Keywords:station distribution analysis  station distribution optimization  genetic algorithms  fitness function
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