Automatic Modulation Classification (AMC) is an intermediate step between signal detection
and demodulation. It is a very important process for a receiver that has no, or limited …

Dynamic spectrum access (DSA) benefits from detection and classification of interference
sources including in-network users, out-network users, and jammers that may all coexist in a …

This letter proposes two novel algorithms for the identification of quadrature amplitude
modulation (QAM) signals. The cyclostationarity-based features used by these algorithms …

Accurate identification of the signal type in shared-spectrum networks is critical for efficient
resource allocation and fair coexistence. It can be used for scheduling transmission …

Blind techniques and algorithms for Multiple-Input Multiple-Output (MIMO) signals
interception have recently attracted a great deal of research efforts. This is due to their …

Recently, automatic modulation classification techniques using convolutional neural
networks on raw IQ samples have been investigated and show promise when compared to …

Blind modulation classification is a fundamental step before signal detection in cognitive
radio networks where the knowledge of modulation scheme is not completely known. In this …

Signal classification is important in various commercial and military applications. Multiple
antenna systems complicate the signal classification problem since there is now the issue of …

Blind signal classification, a major task of intelligent receivers, has important civilian and
military applications. This problem becomes more challenging in multi-antenna scenarios …

Abstract Nowadays, fifth generation (5G) network and unmanned aerial vehicle (UAV) are
more and more important in the civil and military field. Only communicating correctly in 5G …