JPL Technical Report Server

Neural network based satellite tracking for deep space applications

Show simple item record

dc.contributor.author Amoozegar, F. en_US
dc.contributor.author Ruggier, C. en_US
dc.date.accessioned 2004-09-16T23:14:40Z
dc.date.available 2004-09-16T23:14:40Z
dc.date.issued 2003-04-21 en_US
dc.identifier.citation Automatic Target Recognition - Tracking Session en_US
dc.identifier.citation Orlando, FL, USA en_US
dc.identifier.clearanceno 03-1485 en_US
dc.identifier.uri http://hdl.handle.net/2014/7552
dc.description.abstract The objective of this paper is to provide a survey of neural network trends as applied to the tracking of spacecrafts in deep space at Ka-band under various weather conditions and examine the trade-off between tracing accuracy and communication link performance. en_US
dc.format.extent 3674368 bytes
dc.format.mimetype application/pdf
dc.language.iso en_US
dc.subject.other tracking deep space monopulse neural network weather en_US
dc.title Neural network based satellite tracking for deep space applications en_US


Files in this item

This item appears in the following Collection(s)

Show simple item record

Search


Browse

My Account