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Classification of Digital Modulations Mainly Used in Mobile Radio Networks by means of Spectrogram Analysis

机译:通过谱图分析,主要用于移动无线电网络的数字调制分类

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In this paper a new method of modulation classification is proposed. For the analysis, modulation signals and their spectrograms were obtained in the Matlab program. The classification method is based on spectrogram image recognition and it can discriminate between various digital signal modulations, such as FSK, BPSK, MSK, QPSK and QAM. The new method was tested using modulated signals corrupted by Gaussian noise, and it is well usable with signal-to-noise ratios as low as 10 dB.
机译:本文提出了一种新的调制分类方法。对于分析,在Matlab程序中获得调制信号及其谱图。分类方法基于频谱图图像识别,它可以区分各种数字信号调制,例如FSK,BPSK,MSK,QPSK和QAM。使用由高斯噪声损坏的调制信号测试新方法,并且具有低至10 dB的信噪比,可以很好地使用。

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