Automatic Modulation Classification

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Automatic Modulation Classification

Author : Zhechen Zhu
Publisher : John Wiley & Sons
ISBN 13 : 1118906497
Total Pages : 204 pages
Book Rating : 4.1/5 (189 download)

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Book Synopsis Automatic Modulation Classification by : Zhechen Zhu

Download or read book Automatic Modulation Classification written by Zhechen Zhu and published by John Wiley & Sons. This book was released on 2015-02-16 with total page 204 pages. Available in PDF, EPUB and Kindle. Book excerpt: Automatic Modulation Classification (AMC) has been a key technology in many military, security, and civilian telecommunication applications for decades. In military and security applications, modulation often serves as another level of encryption; in modern civilian applications, multiple modulation types can be employed by a signal transmitter to control the data rate and link reliability. This book offers comprehensive documentation of AMC models, algorithms and implementations for successful modulation recognition. It provides an invaluable theoretical and numerical comparison of AMC algorithms, as well as guidance on state-of-the-art classification designs with specific military and civilian applications in mind. Key Features: Provides an important collection of AMC algorithms in five major categories, from likelihood-based classifiers and distribution-test-based classifiers to feature-based classifiers, machine learning assisted classifiers and blind modulation classifiers Lists detailed implementation for each algorithm based on a unified theoretical background and a comprehensive theoretical and numerical performance comparison Gives clear guidance for the design of specific automatic modulation classifiers for different practical applications in both civilian and military communication systems Includes a MATLAB toolbox on a companion website offering the implementation of a selection of methods discussed in the book

Automatic Modulation Classification

Author : Zhechen Zhu
Publisher : John Wiley & Sons
ISBN 13 : 1118906519
Total Pages : 204 pages
Book Rating : 4.1/5 (189 download)

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Book Synopsis Automatic Modulation Classification by : Zhechen Zhu

Download or read book Automatic Modulation Classification written by Zhechen Zhu and published by John Wiley & Sons. This book was released on 2014-12-15 with total page 204 pages. Available in PDF, EPUB and Kindle. Book excerpt: Automatic Modulation Classification (AMC) has been a key technology in many military, security, and civilian telecommunication applications for decades. In military and security applications, modulation often serves as another level of encryption; in modern civilian applications, multiple modulation types can be employed by a signal transmitter to control the data rate and link reliability. This book offers comprehensive documentation of AMC models, algorithms and implementations for successful modulation recognition. It provides an invaluable theoretical and numerical comparison of AMC algorithms, as well as guidance on state-of-the-art classification designs with specific military and civilian applications in mind. Key Features: Provides an important collection of AMC algorithms in five major categories, from likelihood-based classifiers and distribution-test-based classifiers to feature-based classifiers, machine learning assisted classifiers and blind modulation classifiers Lists detailed implementation for each algorithm based on a unified theoretical background and a comprehensive theoretical and numerical performance comparison Gives clear guidance for the design of specific automatic modulation classifiers for different practical applications in both civilian and military communication systems Includes a MATLAB toolbox on a companion website offering the implementation of a selection of methods discussed in the book

Automatic Modulation Classification

Author : Zhechen Zhu
Publisher :
ISBN 13 : 9781118906507
Total Pages : 163 pages
Book Rating : 4.9/5 (65 download)

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Book Synopsis Automatic Modulation Classification by : Zhechen Zhu

Download or read book Automatic Modulation Classification written by Zhechen Zhu and published by . This book was released on 2014 with total page 163 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Automatic Modulation Recognition of Communication Signals

Author : Elsayed Azzouz
Publisher : Springer Science & Business Media
ISBN 13 : 1475724691
Total Pages : 233 pages
Book Rating : 4.4/5 (757 download)

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Book Synopsis Automatic Modulation Recognition of Communication Signals by : Elsayed Azzouz

Download or read book Automatic Modulation Recognition of Communication Signals written by Elsayed Azzouz and published by Springer Science & Business Media. This book was released on 2013-04-17 with total page 233 pages. Available in PDF, EPUB and Kindle. Book excerpt: Automatic modulation recognition is a rapidly evolving area of signal analysis. In recent years, interest from the academic and military research institutes has focused around the research and development of modulation recognition algorithms. Any communication intelligence (COMINT) system comprises three main blocks: receiver front-end, modulation recogniser and output stage. Considerable work has been done in the area of receiver front-ends. The work at the output stage is concerned with information extraction, recording and exploitation and begins with signal demodulation, that requires accurate knowledge about the signal modulation type. There are, however, two main reasons for knowing the current modulation type of a signal; to preserve the signal information content and to decide upon the suitable counter action, such as jamming. Automatic Modulation Recognition of Communications Signals describes in depth this modulation recognition process. Drawing on several years of research, the authors provide a critical review of automatic modulation recognition. This includes techniques for recognising digitally modulated signals. The book also gives comprehensive treatment of using artificial neural networks for recognising modulation types. Automatic Modulation Recognition of Communications Signals is the first comprehensive book on automatic modulation recognition. It is essential reading for researchers and practising engineers in the field. It is also a valuable text for an advanced course on the subject.

Mobile Multimedia Communications

Author : Jinbo Xiong
Publisher : Springer Nature
ISBN 13 : 3030898148
Total Pages : 899 pages
Book Rating : 4.0/5 (38 download)

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Book Synopsis Mobile Multimedia Communications by : Jinbo Xiong

Download or read book Mobile Multimedia Communications written by Jinbo Xiong and published by Springer Nature. This book was released on 2021-11-02 with total page 899 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the thoroughly refereed post-conference proceedings of the 14th International Conference on Mobile Multimedia Communications, Mobimedia 2021, held in July 2021. Due to COVID-19 pandemic the conference was held virtually. The 66 revised full papers presented were carefully selected from 166 submissions. The papers are organized in topical sections as follows: Internet of Things and Wireless Communications Communication; Strategy Optimization and Task Scheduling Oral Presentations; Privacy Computing Technology; Cyberspace Security and Access control; Neural Networks and Feature Learning Task Classification and Prediction; Object Recognition and Detection.

AMC2N: Automatic Modulation Classification Using Feature Clustering‑Based Two‑Lane Capsule Networks

Author : Dhamyaa H. Al‑Nuaimi
Publisher : Infinite Study
ISBN 13 :
Total Pages : 32 pages
Book Rating : 4./5 ( download)

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Book Synopsis AMC2N: Automatic Modulation Classification Using Feature Clustering‑Based Two‑Lane Capsule Networks by : Dhamyaa H. Al‑Nuaimi

Download or read book AMC2N: Automatic Modulation Classification Using Feature Clustering‑Based Two‑Lane Capsule Networks written by Dhamyaa H. Al‑Nuaimi and published by Infinite Study. This book was released on with total page 32 pages. Available in PDF, EPUB and Kindle. Book excerpt: This study proves that the AMC2N outperforms existing methods, particularly, convolutional neural network(CNN), Robust‑CNN (R‑CNN), curriculum learning(CL), and Local Binary Pattern (LBP), in terms of accuracy, precision, recall, F‑score, and computation time. All metrics are validated in two scenarios, and the proposed method shows promising results in both.

2016 IEEE 13th International Conference on Signal Processing (ICSP)

Author : IEEE Staff
Publisher :
ISBN 13 : 9781509013449
Total Pages : pages
Book Rating : 4.0/5 (134 download)

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Book Synopsis 2016 IEEE 13th International Conference on Signal Processing (ICSP) by : IEEE Staff

Download or read book 2016 IEEE 13th International Conference on Signal Processing (ICSP) written by IEEE Staff and published by . This book was released on 2016-11-06 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: 13th Conference will include sessions on all aspects of theory, design and applications of signal processing Prospective authors are invited to propose papers in any of the following areas, but not limited to A Digital Signal Processing (DSP) B Spectrum Estimation and Modeling C TF Spectrum Analysis and Wavelet D Higher Order Spectral Analysis E Adaptive Filtering and SP F Array Signal Processing G Hardware Implementation for Signal Processing H Speech and Audio Coding I Speech Synthesis and Recognition J Image Processing and Understanding K PDE for Image Processing L Video compression and Streaming M Computer Vision and VR N Multimedia and Human computer Interaction O Statistic Learning and Pattern Recognition P AI and Neural Networks Q Communication Signal processing R SP for Internet and Wireless Communications S Biometrics and Authentification T SP for Bio medical and Cognitive Science U SP for

Neural-network-aided Automatic Modulation Classification

Author : Pavlos Triantaris
Publisher :
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.:/5 (137 download)

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Book Synopsis Neural-network-aided Automatic Modulation Classification by : Pavlos Triantaris

Download or read book Neural-network-aided Automatic Modulation Classification written by Pavlos Triantaris and published by . This book was released on 2022 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Automatic Modulation Classification in Mobile OFDM Systems with Adaptive Modulation

Author : Yun Chen
Publisher :
ISBN 13 : 9783844025255
Total Pages : 0 pages
Book Rating : 4.0/5 (252 download)

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Book Synopsis Automatic Modulation Classification in Mobile OFDM Systems with Adaptive Modulation by : Yun Chen

Download or read book Automatic Modulation Classification in Mobile OFDM Systems with Adaptive Modulation written by Yun Chen and published by . This book was released on 2013 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Learning-based Automatic Modulation Classification

Author : Ameen Elsiddig Abdelmutalab
Publisher :
ISBN 13 :
Total Pages : 92 pages
Book Rating : 4.:/5 (929 download)

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Book Synopsis Learning-based Automatic Modulation Classification by : Ameen Elsiddig Abdelmutalab

Download or read book Learning-based Automatic Modulation Classification written by Ameen Elsiddig Abdelmutalab and published by . This book was released on 2015 with total page 92 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Automatic Modulation Classification (AMC) is a new technology implemented into communication receivers to automatically determine the modulation type of a received signal. One of the main applications of AMC is in adaptive modulation systems, where the modulation scheme is changed dynamically according to the changes in the wireless channel. However, this requires the receiver to be continuously informed about the modulation type, resulting in a loss of bandwidth efficiency. The existence of smart receivers that can automatically recognize the modulation type improves the utilization of available bandwidth. In this thesis, a new AMC algorithm based on a Hierarchical Polynomial Classifier structure is introduced. The proposed system is tested for classifying BPSK, QPSK, 8-PSK, 16-QAM, 64-QAM and 256-QAM modulation types in Additive White Gaussian Noise (AWGN) and flat fading environments. Moreover, the system uses High Order Cumulants (HOCs) of the received signal as discriminant features to distinguish between the different digital modulation types. The proposed system divides the overall modulation classification problem into hierarchical binary sub-classification tasks. In each binary sub-classification, the HOC inputs are expanded into a higher dimensional space in which the two classes are linearly separable. Furthermore, the signal-to-noise ratio of the received signal is estimated and fed to the proposed classifier to improve the classification accuracy. Another modification is added to the proposed system by using stepwise regression optimization for feature selection. Hence, the input features to the classifier are chosen to give the highest classification accuracy while maintaining a minimum number of possible features. Extensive simulations showed that a significant improvement in classification accuracy and reduction in the system complexity is obtained compared to the previously suggested systems in the literature."--Abstract.

Machine Learning for Future Wireless Communications

Author : Fa-Long Luo
Publisher : John Wiley & Sons
ISBN 13 : 1119562252
Total Pages : 490 pages
Book Rating : 4.1/5 (195 download)

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Book Synopsis Machine Learning for Future Wireless Communications by : Fa-Long Luo

Download or read book Machine Learning for Future Wireless Communications written by Fa-Long Luo and published by John Wiley & Sons. This book was released on 2020-02-10 with total page 490 pages. Available in PDF, EPUB and Kindle. Book excerpt: A comprehensive review to the theory, application and research of machine learning for future wireless communications In one single volume, Machine Learning for Future Wireless Communications provides a comprehensive and highly accessible treatment to the theory, applications and current research developments to the technology aspects related to machine learning for wireless communications and networks. The technology development of machine learning for wireless communications has grown explosively and is one of the biggest trends in related academic, research and industry communities. Deep neural networks-based machine learning technology is a promising tool to attack the big challenge in wireless communications and networks imposed by the increasing demands in terms of capacity, coverage, latency, efficiency flexibility, compatibility, quality of experience and silicon convergence. The author – a noted expert on the topic – covers a wide range of topics including system architecture and optimization, physical-layer and cross-layer processing, air interface and protocol design, beamforming and antenna configuration, network coding and slicing, cell acquisition and handover, scheduling and rate adaption, radio access control, smart proactive caching and adaptive resource allocations. Uniquely organized into three categories: Spectrum Intelligence, Transmission Intelligence and Network Intelligence, this important resource: Offers a comprehensive review of the theory, applications and current developments of machine learning for wireless communications and networks Covers a range of topics from architecture and optimization to adaptive resource allocations Reviews state-of-the-art machine learning based solutions for network coverage Includes an overview of the applications of machine learning algorithms in future wireless networks Explores flexible backhaul and front-haul, cross-layer optimization and coding, full-duplex radio, digital front-end (DFE) and radio-frequency (RF) processing Written for professional engineers, researchers, scientists, manufacturers, network operators, software developers and graduate students, Machine Learning for Future Wireless Communications presents in 21 chapters a comprehensive review of the topic authored by an expert in the field.

Automatic Modulation Classification for Software Defined Radio

Author : Sungyeol Choi
Publisher :
ISBN 13 :
Total Pages : 194 pages
Book Rating : 4.:/5 (8 download)

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Book Synopsis Automatic Modulation Classification for Software Defined Radio by : Sungyeol Choi

Download or read book Automatic Modulation Classification for Software Defined Radio written by Sungyeol Choi and published by . This book was released on 2009 with total page 194 pages. Available in PDF, EPUB and Kindle. Book excerpt:

2021 IEEE 18th India Council International Conference (INDICON)

Author : IEEE Staff
Publisher :
ISBN 13 : 9781665441766
Total Pages : pages
Book Rating : 4.4/5 (417 download)

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Book Synopsis 2021 IEEE 18th India Council International Conference (INDICON) by : IEEE Staff

Download or read book 2021 IEEE 18th India Council International Conference (INDICON) written by IEEE Staff and published by . This book was released on 2021-12-19 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Tracks for the Event AI and Data Science Robotics and Cybernetics Devices, Circuits and Systems Control and Instrumentation VLSI and Nanotechnology Power, Energy and Power Electronics Computational Biology and Biomedical Informatics Antenna and Microwave Techniques Communications Networks, IoT Computer Architecture and Embedded Systems Signal Processing and Multimedia Security and Privacy

Advances in Information and Communication

Author : Kohei Arai
Publisher : Springer Nature
ISBN 13 : 3030394425
Total Pages : 930 pages
Book Rating : 4.0/5 (33 download)

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Book Synopsis Advances in Information and Communication by : Kohei Arai

Download or read book Advances in Information and Communication written by Kohei Arai and published by Springer Nature. This book was released on 2020-02-13 with total page 930 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents high-quality research on the concepts and developments in the field of information and communication technologies, and their applications. It features 134 rigorously selected papers (including 10 poster papers) from the Future of Information and Communication Conference 2020 (FICC 2020), held in San Francisco, USA, from March 5 to 6, 2020, addressing state-of-the-art intelligent methods and techniques for solving real-world problems along with a vision of future research. Discussing various aspects of communication, data science, ambient intelligence, networking, computing, security and Internet of Things, the book offers researchers, scientists, industrial engineers and students valuable insights into the current research and next generation information science and communication technologies.

Next-Generation Networks

Author : Daya K. Lobiyal
Publisher : Springer
ISBN 13 : 9811060053
Total Pages : 574 pages
Book Rating : 4.8/5 (11 download)

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Book Synopsis Next-Generation Networks by : Daya K. Lobiyal

Download or read book Next-Generation Networks written by Daya K. Lobiyal and published by Springer. This book was released on 2017-11-18 with total page 574 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book comprises select proceedings of the 2015 annual conference of the Computer Society of India. The books focuses on next generation networks (NGN). An NGN is a packet-based network which can provide services including telecommunication services. NGNs make use of multiple broadband, quality-of-service-enabled transport technologies in which service-related functions are independent from underlying transport-related technologies. This volume includes contributions from experts on various aspects of NGNs. The papers included cover theory, methodology and applications of ad-hoc networks, sensor networks, and the internet. The contents also delve into how the new enterprise IT landscape of cloud services, mobility, social media usage and big data analytics creates different types of network traffic to the traditional mix of in-house client-server enterprise workloads. The contents of this book will be useful to researchers and professionals alike.

Machine Learning Techniques for Automatic Modulation Classification

Author :
Publisher :
ISBN 13 :
Total Pages : 87 pages
Book Rating : 4.:/5 (12 download)

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Book Synopsis Machine Learning Techniques for Automatic Modulation Classification by :

Download or read book Machine Learning Techniques for Automatic Modulation Classification written by and published by . This book was released on 2017 with total page 87 pages. Available in PDF, EPUB and Kindle. Book excerpt: Automatic Modulation Classification (AMC) is concerned with automatically identifying the modulation type of communication signals. AMC is the fundamental component of signal recovery systems and is also employed in jammers in military electronic warfare. Its potential to solve serious issues such as spectral congestion encourages one to develop systems that can quickly and efficiently identify the modulation class of intercepted signals. This thesis is dedicated to classifying digital signals into one of the eight classes: 8-Pulse shift keying (8-PSK), Binary pulse shift keying (BPSK), Continuous-phase frequency-shift keying (CPFSK), Gaussian frequency-shift keying (GFSK), 4-Pulse amplitude modulation (4-PAM), 16-Quadrature amplitude modulation (16-QAM), 64-QAM and Quadrature phase shift keying (QPSK). The classification task has been accomplished via machine learning techniques. The objective is to study and compare various classifiers for identifying the class of a digitally modulated signal. Machine learning classifiers k-Nearest Neighbors, Support Vector Machine, Decision Tree, Random Forests and Artificial Neural Networks were implemented. The classifiers were trained to perform the task of AMC and their performances were examined and compared with each other. Manual feature engineering was done to train the classifiers. An alternate solution to feature engineering was presented in the form of feature learning from raw data.

Sequential Decision Making for Automatic Modulation Classification

Author : Nicholas W. Waltman
Publisher :
ISBN 13 :
Total Pages : 42 pages
Book Rating : 4.:/5 (122 download)

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Book Synopsis Sequential Decision Making for Automatic Modulation Classification by : Nicholas W. Waltman

Download or read book Sequential Decision Making for Automatic Modulation Classification written by Nicholas W. Waltman and published by . This book was released on 2019 with total page 42 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this paper, an algorithm is introduced to use deep learning to perform automatic modulation classification in a sequential manner. At each time step, a decision is made whether to request more data or to return a classification decision. This allows for the data, and therefore time, needed to make a decision to be minimized while maintaining a high degree of accuracy. The performance of this algorithm is studied using multiple strategies and lists of modulations to be classified.