Open AccessA blind classification method of adaptive coding and modulation signals based on cumulants
Author(s) -
Zhiqiang Chen,
Jing Lei,
Wei Liu
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1738/1/012015
Subject(s) - cumulant , coding (social sciences) , modulation (music) , pattern recognition (psychology) , mathematics , link adaptation , dimension (graph theory) , higher order statistics , delta modulation , segmentation , algorithm , computer science , artificial intelligence , signal processing , statistics , decoding methods , telecommunications , pulse amplitude modulation , detector , acoustics , physics , radar , fading , pure mathematics , pulse (music)
This paper proposes a blind modulation classification method for adaptive coding and modulation signals base on the difference in high-order cumulants of different modulation types. Use high-order cumulants to establish features to design modulation classification algorithm and decision thresholds. Because of the time-varying characteristics of adaptive coding and modulation signals, the segmentation classification method is used to realize the modulation classification of each frame in the time dimension. Finally, the designed algorithm is simulated, and the classification performance of the algorithm under different modulation types, segment lengths and signal-to-noise ratios is analyzed.