Representation Learning for Modulation Recognition of LPI Radar Signals Through Clustering

Representation Learning for Modulation Recognition of LPI Radar Signals Through Clustering

Today, there is a demand for reliable ways to perform automatic modulation recognition of Low Probability of Intercept (LPI) radar signals, not least in the defense industry. This study explores the possibility of performing automatic modulation recognition on these signals through clustering and mo...

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Bibliographic Details
Main Author: Grancharova, Mila
Format: Others
Language:English
Published: KTH, Skolan för elektroteknik och datavetenskap (EECS) 2020
Subjects:
Clustering
Representation Learning
Semi-Supervised Learning
Low Probability of Intercept Radar
Automatic Modulation Recognition
Klustring
semiövervakad inlärning
representationsinlärning
Low Probability of Intercept radar
automatiserad modulationsigenkänning
Computer and Information Sciences
Data- och informationsvetenskap
Online Access:http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-283194

Internet

http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-283194

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