Automatic classification of analogue modulation signals by statistical parameters

S. Taira, E. Murakami
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引用次数: 35

Abstract

Automatic classification of 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. A new automatic classification procedure of analogue modulation signals including phase continuous FSK signals is proposed. For the discrimination between frequency modulation signals and amplitude modulation signals and the classification among amplitude modulation signals, the statistical parameters of the signal envelope are used. For the classification among frequency modulation signals, the compactness of the instantaneous frequency distribution is used. Good classification possibility have been ascertained by the computer simulations when the SNR/spl ges/10 dB. The discrimination between analogue modulation signals and digital modulation signals based on the block processing is also discussed.
模拟调制信号的统计参数自动分类
调制信号的自动分类在智能解调器、干扰识别和监控等通信应用中起着重要的作用,因此在过去进行了大量的研究。提出了一种新的含相位连续FSK信号的模拟调制信号自动分类方法。为了区分调频信号和调幅信号以及对调幅信号进行分类,采用了信号包络的统计参数。在对调频信号进行分类时,利用了瞬时频率分布的紧密性。计算机模拟结果表明,当信噪比/spl为/10 dB时,具有良好的分类可能性。讨论了基于分块处理的模拟调制信号与数字调制信号的区分。
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