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Automatic classification of analog modulation schemes
2012 IEEE Radio and Wireless Symposium, 2012This paper discusses automatic modulation classification (AMC) of analog schemes. Histograms of instantaneous frequency are used as classification features and Support Vector Machines (SVMs) are then applied to classify the unknown modulation schemes. This novel machine-learning based method can insure robustness in a wide range of SNR.
Haifeng Xiao +3 more
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Investigation of automatic analog modulation classification algorithms
2012 20th Signal Processing and Communications Applications Conference (SIU), 2012In this paper, feature based modulation classifiers are investigated for AM, DSB, LSB, USB and FM analog modulations methods. Instantaneous phase, magnitude and spectrum of the signals to be classified are used for the calculation of the key features. At the decision step decision tree, minimum distance classifier and support vector machines are used ...
Mehmet Kabasakal, Cenk Toker
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Multistage Clustering Based Automatic Modulation Classification
2019 IEEE 89th Vehicular Technology Conference (VTC2019-Spring), 2019Automatic modulation classification (AMC) is the problem of identifying the modulation type of a given radio frequency (RF) signal. This operation is one of the key steps in a cognitive radio based spectrum sharing communication network. It is known that the optimal classification algorithms for AMC are computationally intensive which renders real-time
Lamia M. Kalam +1 more
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Distributed Automatic Modulation Classification with Compressed Data
MILCOM 2019 - 2019 IEEE Military Communications Conference (MILCOM), 2019This work presents an approach for performing automatic modulation classification (AMC) in a distributed environment using a novel multi-input averaging Convolutional Neural Network (CNN) which ingests one instance of raw received data, in Inphase/Quadrature (IQ) format, and compressed realizations of the same signal from neighboring nodes.
Lauren J. Wong +3 more
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Automatic modulation classification using polynomial classifiers
2014 IEEE 25th Annual International Symposium on Personal, Indoor, and Mobile Radio Communication (PIMRC), 2014In this paper, a new automatic modulation classification system using a polynomial classifier is proposed. The feature set used in the proposed system is comprised of second, fourth and sixth higher order cumulants of the received signal. The polynomial classifier expands the feature vector into a higher dimensional space in which the different ...
Ameen Abdelmutalab +2 more
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Combining clustering and SVM for automatic modulation classification
International Journal of Computer Applications in Technology, 2012In this paper, we propose a new modulation classification method based on the combination of clustering and Support Vector Machine (SVM), in which a new algorithm is introduced to extract key features. To recognise signals modulated based on constellation diagram, such as MPSK and MQAM; K-means clustering is adopted for recovering constellation under ...
Aisheng Liu, Qi Zhu
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AUTOMATIC MODULATION CLASSIFICATION: CUMULANT APPROACH
Bulletin of Russian academy of natural sciences, 2023The article describes the apparatus for determining the types of modulation based on cumulants. A new approach based on cumulants up to the eighth order is considered. The rationale for the use of the cumulant method is given. The results of the application of artificial neural networks in the task of automating the detection of signs of intrapulse ...
V.C. Kurbanaliev, Yu.N. Gorbunov
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Automatic modulation classification for rapid radio deployment
Proceedings of 2010 21st IEEE International Symposium on Rapid System Protyping, 2010Cognitive Radio and signal intelligence (SIGINT) applications require radios to perform situation-awareness functions, as spectrum sensing to detect the spectral occupation. In more advanced systems, for SIGINT and for interference cancellation purposes, a radio receiver may need to classify an otherwise unknown signal without prior information about ...
Adolfo Recio +2 more
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Automatic Modulation Classification by Support Vector Machines
2004Automatic classification of analog and digital modulation signals plays an important role in communication applications such as an intelligent demodulator, interference identification and monitoring, so many investigations have been carried out in the past.
Zhijin Zhao +3 more
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Automatic modulation classification in practical wireless channels
2016 International Conference on Information and Communication Technology Convergence (ICTC), 2016Flexible spectrum utilization becomes one of the major agendas in the next generation wireless communications. A core technology to efficiently adjust spectrum is automatic modulation classification (AMC) which recently emerges in various future wireless research including military communications, cognitive radio and high-throughput wireless.
Sung-Jin Kim, Dongweon Yoon
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