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1. 1. Representation Learning for Modulation Recognition of LPI Radar Signals Through Clustering

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Mila Grancharova; [2020]
   Keywords : 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;

   Abstract : 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 more specifically how to learn representations of input signals for this task. READ MORE