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Research on Modulation Recognition of the Communication Signal Based on Statistical Model

机译:基于统计模型的通信信号调制识别研究

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Modulation recognition is the key problems in noncooperative communication, communication detection and communication surveillance. Non-cooperate communication is commonly used in civilian and military applications, where it is required to monitor the activities of communication signals in space and intercept the signal information content with little prior knowledge. The paper describes the principium of the automatic modulation recognition of communicational signal based on statistical model, then analyses automatic modulation recognition of analog communicational signals and shows a method to achieve.
机译:调制识别是非合作通信,通信检测和通信监视中的关键问题。非合作通信通常用于民用和军事应用,在这种情况下,需要在很少了解先验知识的情况下监视空间中通信信号的活动并拦截信号信息内容。本文介绍了基于统计模型的通信信号自动调制识别的原理,然后分析了模拟通信信号的自动调制识别,并给出了一种实现方法。

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