Automatic Modulation Classification: Principles, Algorithms and Applications
Automatic Modulation Classification: Principles, Algorithms and Applications
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DOI：
10.1002/9781118906507
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发表时间：
2015-02
期刊：
影响因子：
--
通讯作者：
Zhechen Zhu;A. Nandi
中科院分区：
文献类型：
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作者：
Zhechen Zhu;A. Nandi
几十年来，自动调制分类(AMC)一直是许多军事、安全和民用电信应用中的一项关键技术。在军事和安全应用中，调制通常用作另一种级别的加密；在现代民用应用中，信号发射机可以使用多种调制类型来控制数据速率和链路可靠性。本书提供了AMC模型、算法和实现的全面文档，以实现成功的调制识别。它提供了AMC算法的宝贵的理论和数字比较，以及考虑到特定的军事和民用应用的最新分类设计的指导。主要特点：提供了五个主要类别的AMC算法的重要集合，从基于似然的分类器和基于分布测试的分类器到基于特征的分类器，机器学习辅助分类器和盲调制分类器基于统一的理论背景列出了每种算法的详细实现，并进行了全面的理论和数值性能比较，为为民用和军用通信系统中不同的实际应用设计特定的自动调制分类器提供了明确的指导包括配套网站上的MATLAB工具箱，提供了本书中讨论的方法选择的实现
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