TY - JOUR
AU - Orlic, V. D.
AB - 204 M. SIMIC, M. STANKOVIC, V. D. ORLIC, AUTOMATIC MODULATION CLASSIFICATION OF REAL SIGNALS … Automatic Modulation Classification of Real Signals in AWGN Channel Based on Sixth-Order Cumulants 1 2 1 Mirko SIMIC , Milos STANKOVIC , Vladimir D. ORLIC Institute Vlatacom, Blvd M Milankovic 5, 11000 Belgrade, Serbia Singidunum University, Danijelova 32, 11000 Belgrade, Serbia {mirko.simic, vladimir.orlic}@vlatacom.com, milos.stankovic@singidunum.ac.rs Submitted October 16, 2020 / Accepted February 24, 2021 Abstract. Automatic modulation classification (AMC) electronic warfare, surveillance, and countermeasures, but represents an important integral part of modern communi- also in many civilian communication applications, like cation systems. While novel AMC algorithms based on software-defined radio, spectrum management, cognitive radio, smart reconfigurable transceivers, intelligent mo- complex neural network structures showed significant performance improvements, in practical applications low dems, and Internet of Things (IoT), [1–5]. algorithm complexity of AMC algorithms based on higher- There are two approaches in AMC algorithms devel- order cumulants still makes them very attractive. AMC opment widely used by many authors: likelihood-based algorithm based on sixth-order cumulants showed very (LB) methods, which are leading to optimal solutions at the good performance in this context, especially when it comes price of high computations, and feature-based (FB) meth- to distinguishing 
TI - Automatic Modulation Classification of Real Signals in AWGN Channel Based on Sixth-Order Cumulants
JO - Radioengineering
DO - 10.13164/re.2021.0204
DA - 2021-04-15
UR - https://www.deepdyve.com/lp/unpaywall/automatic-modulation-classification-of-real-signals-in-awgn-channel-Z6QFoSiHz0
DP - DeepDyve
ER -