一种基于观测方程GDOP值的优化选站模型

发布时间：2018-03-01 12:23

本文关键词： SSS模型 GDOP值精密定轨时效性网格划分优化选站　出处：《武汉大学学报(信息科学版)》2017年06期 　论文类型：期刊论文

【摘要】：针对GNSS(global navigation satellite system)数据分析中心对快速、超快速轨道产品精度及时效性的要求以及全球跟踪站分布不均匀性的现状,本文提出一种基于观测方程GDOP(geometric dilution of precision)值的优化选站SSS(selected step by step)模型。从理论上推导出精密定轨最小地面跟踪站数与地面最优跟踪站数的计算方法,分别通过s°×s°和k°×k°带全球网格划分,筛选最小跟踪站全球分布,以定轨观测方程GDOP值最小为准则,逐步累加筛选定轨全球跟踪站最优分布。连续6d的数据分析结果表明,本文提出的优化选站模型,在相同数据处理能力条件下,定轨精度可达整体处理的90%,处理时间缩短50%以上;与一般策略对比表明,SSS模型计算出的轨道精度相当,时间节约20%左右;此模型所选跟踪站为最优或次优,提高了分析中心数据处理效率。
[Abstract]:Aiming at the requirements of GNSS(global navigation satellite system data analysis center for the accuracy and timeliness of fast and ultra-fast track products and the current situation of uneven distribution of global tracking stations, In this paper, an optimal SSS(selected step by step model based on the GDOP(geometric dilution of prediction value is proposed. The calculation method of the minimum ground tracking stations and the optimal ground tracking stations for precise orbit determination is derived theoretically. The global distribution of the smallest tracking station is screened by the global grid division in the s 掳脳 s 掳and k 掳脳 k 掳zones, and the optimal distribution of the global tracking station is gradually accumulated according to the minimum GDOP value of the orbit determination equation. The results of data analysis for 6 consecutive days show that, Under the same data processing capacity, the optimal station selection model proposed in this paper can achieve 90 percent orbit determination accuracy and reduce processing time by more than 50%. The comparison with the general strategy shows that the orbit accuracy calculated by the SSS model is similar to that calculated by the SSS model. The time saving is about 20%, and the tracking station selected by this model is the best or sub-optimal, which improves the efficiency of data processing in the analysis center.
【作者单位】：中国矿业大学环境与测绘学院;
【基金】：国家自然科学基金(41404033,51374209) 国家重点实验室开放基金重点项目(SKLGIE2014-Z-1-1) 中央高校基本科研业务费专项资金(2011QNA02) 高等学校博士学科点专项科研基金(20130095110022)~~
【分类号】：P228.4

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