CSA-Assisted Gabor Features for Automatic Modulation Classification

• Published in: Circuits, systems, and signal processing Vol. 41; no. 3; pp. 1660 - 1682
• Main Authors: Shah, Syed Ihtesham Hussain, Coronato, Antonio, Ghauri, Sajjad A., Alam, Sheraz, Sarfraz, Mubashar
• Format: Journal Article
• Language: English
• Published: New York Springer US 01.03.2022; Springer Nature B.V
• Subjects: Circuits and Systems; Classification; Electrical Engineering; Electronics and Microelectronics; Engineering; Feature extraction; Gabor filters; Heuristic methods; Instrumentation; Phase shift keying; Quadrature amplitude modulation; Search algorithms; Signal processing; Signal to noise ratio; Signal,Image and Speech Processing; Feature extraction; Gabor features (GF); Automatic modulation classification (AMC); Cuckoo search algorithm (CSA)

Automatic modulation classification (AMC) is a process of automatic detection of modulation format imposed on the received signal with no prior information (carrier, signal power, phase offset) of the signal, also known as blind classification. In this paper, we proposed a new AMC algorithm, by comb...