NDLI: Automated generation of antenna tracking plans for a deep space communications station

Content Provider	IEEE Xplore Digital Library
Author	Estlin, T. Fisher, F. Mutz, D. Chien, S.
Copyright Year	1999
Description	Author affiliation: Jet Propulsion Lab., California Inst. of Technol., Pasadena, CA, USA (Estlin, T.)
Abstract	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.
Starting Page	351
Ending Page	357
File Size	788609
Page Count	7
File Format	PDF
ISBN	0780354257
DOI	10.1109/AERO.1999.794307
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1999-03-07
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Space stations Radar tracking Space vehicles Space technology Technology planning Radio navigation Artificial intelligence NASA Radar antennas Spaceborne radar
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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