深空网络支持未来空间任务的长期规划成本模型

D. S. Remer, J. Sherif, H. R. Buchanan
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引用次数: 2

摘要

提出了一个简单的模型,用于对未来空间任务的深空网络(DSP)支持进行长期规划成本估算。该模型估计DSN编制的总费用和这些费用的年度分配,以便进行长期预算规划。成本模型是基于四个太空任务的实际DSN准备成本:伽利略号、旅行者号(天王星)、旅行者号(海王星)和麦哲伦号。该模型针对四个项目进行了测试,并给出了成本估计,其范围从高于项目实际总准备成本的18%到低于25%。该模型还与另外两个独立项目进行了比较:海盗号和水手号木星/土星(MJS后来成为旅行者号)。该模型给出的成本估计范围从2%(维京)到10% (MJS),低于这些任务的实际总准备成本。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Long-range planning cost model for support of future space missions by the deep space network
A simple model is suggested to do long-range planning cost estimates for Deep Space Network (DSP) support of future space missions. The model estimates total DSN preparation costs and the annual distribution of these costs for long-range budgetary planning. The cost model is based on actual DSN preparation costs from four space missions: Galileo, Voyager (Uranus), Voyager (Neptune), and Magellan. The model was tested against the four projects and gave cost estimates that range from 18 percent above the actual total preparation costs of the projects to 25 percent below. The model was also compared to two other independent projects: Viking and Mariner Jupiter/Saturn (MJS later became Voyager). The model gave cost estimates that range from 2 percent (for Viking) to 10 percent (for MJS) below the actual total preparation costs of these missions.
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