Using artificial intelligence planning to generate antenna tracking plans

被引：0
|
作者：
Fisher, Forest [1 ]
Estlin, Tara [1 ]
Mutz, Darren [1 ]
Chien, Steve [1 ]
机构：
[1] California Inst of Technology, Pasadena, United States
来源：
Proceedings of the National Conference on Artificial Intelligence | 1999年
关键词：
Antennas - Planning - Radar astronomy - Radio systems - Scheduling - Space stations - Telecommunication links - Telemetering - Tracking (position);
D O I：
暂无
中图分类号：
学科分类号：
摘要：
This paper describes the application of Artificial Intelligence planning techniques to the problem of antenna track plan generation for a NASA Deep Space Communications Station. The described system enables an antenna communications station to automatically respond to a set of tracking goals by correctly configuring the appropriate hardware and software to provide the requested communication services. To perform this task, the Automated Scheduling and Planning Environment (ASPEN) has been applied to automatically produce antenna tracking plans that are tailored to support a set of input goals. In this paper, we describe the antenna automation problem, the ASPEN planning and scheduling system, how ASPEN is used to generate antenna track plans, the results of several technology demonstrations, and future work utilizing dynamic planning technology.
引用
收藏
页码：856 / 863
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