Radar Target Classification Using Neural Network and Median Filter

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Date
2001-09
ORCID
Advisor
Referee
Mark
Journal Title
Journal ISSN
Volume Title
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Společnost pro radioelektronické inženýrství
Abstract
The paper deals with Radar Target Classification based on the use of a neural network. A radar signal was acquired from the output of a J frequency band noncoherent radar. We applied the three layer feed forward neural network using the backpropagation learning algorithm. We defined classes of radar targets and designated each of them by its number. Our classification process resulted in the number of a radar target class, which the radar target belongs to.
Description
Citation
Radioengineering. 2001, vol. 10, č. 3, s. 15-17. ISSN 1210-2512
http://www.radioeng.cz/fulltexts/2001/01_03_15_17.pdf
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Peer-reviewed
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Published version
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Language of document
en
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Creative Commons Attribution 3.0 Unported License
http://creativecommons.org/licenses/by/3.0/
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