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Automatic modulation classification using combination of genetic programming and KNN
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 …
and demodulation. It is a very important process for a receiver that has no, or limited …
Deep learning for RF signal classification in unknown and dynamic spectrum environments
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 …
sources including in-network users, out-network users, and jammers that may all coexist in a …
Signal detection and classification in shared spectrum: A deep learning approach
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 …
resource allocation and fair coexistence. It can be used for scheduling transmission …
Cyclostationarity-based robust algorithms for QAM signal identification
This letter proposes two novel algorithms for the identification of quadrature amplitude
modulation (QAM) signals. The cyclostationarity-based features used by these algorithms …
modulation (QAM) signals. The cyclostationarity-based features used by these algorithms …
Modulation classification for MIMO systems: State of the art and research directions
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 …
interception have recently attracted a great deal of research efforts. This is due to their …
Signal detection effects on deep neural networks utilizing raw IQ for modulation classification
Recently, automatic modulation classification techniques using convolutional neural
networks on raw IQ samples have been investigated and show promise when compared to …
networks on raw IQ samples have been investigated and show promise when compared to …
[HTML][HTML] Wavelet transform based modulation classification for 5G and UAV communication in multipath fading channel
W Li, Z Dou, L Qi, C Shi - Physical Communication, 2019 - Elsevier
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 …
more and more important in the civil and military field. Only communicating correctly in 5G …
Modulation-constrained clustering approach to blind modulation classification for MIMO systems
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 …
radio networks where the knowledge of modulation scheme is not completely known. In this …
Classification of space-time block codes based on second-order cyclostationarity with transmission impairments
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 …
antenna systems complicate the signal classification problem since there is now the issue of …
Fourth-order statistics for blind classification of spatial multiplexing and Alamouti space-time block code signals
Blind signal classification, a major task of intelligent receivers, has important civilian and
military applications. This problem becomes more challenging in multi-antenna scenarios …
military applications. This problem becomes more challenging in multi-antenna scenarios …