A comparison of clustering algorithms for automatic modulation classification

作者：

Highlights：

• Clustering algorithms are compared for Automatic Modulation Classification.

• An enhanced classification method is proposed and compared to other popular methods.

• The proposed method can function with a large pool of possible modulation schemes.

• The proposed method is deterministic and does not rely on machine learning.

• Algorithm execution time, complexity and accuracy are evaluated.

摘要

•Clustering algorithms are compared for Automatic Modulation Classification.•An enhanced classification method is proposed and compared to other popular methods.•The proposed method can function with a large pool of possible modulation schemes.•The proposed method is deterministic and does not rely on machine learning.•Algorithm execution time, complexity and accuracy are evaluated.

论文关键词：Automatic modulation classification,Constellation diagram,I/Q plane,Clustering algorithm,Centroid estimation

论文评审过程：Received 11 October 2019, Revised 14 February 2020, Accepted 15 February 2020, Available online 16 February 2020, Version of Record 9 March 2020.

论文官网地址：https://doi.org/10.1016/j.eswa.2020.113317