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AM-FM Signal Modulation Recognition Based on the Power Spectrum

Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 214)

Abstract

Modulation recognition in frequency domain is a complex problem. This paper deals with classification for analog modulated signals based on the frequency domain information. Here, two feature parameters are designed to describe the spectrum property of the modulated signals, one is the ratio of the square of the mean value of the spectrum amplitude to the variance, and the other is the kurtosis of the normalized spectrum amplitude. Modulation recognition rules based on the two feature parameters are extracted. The rules are used to recognize AM-FM analog modulated signals, which are actual spectrum data by Agilent E4407 Spectrum Analyzer. The test results show the effectiveness of our method in this paper.

Keywords

AM FM Modulation recognition Spectrum feature Discrimination rule 

Notes

Acknowledgments

This work is partially supported by the research fund of Sichun Key Laboratory of Intelligent Network Information Processing (SGXZD1002-10) , the National Natural Science Foundation (61175055, 61105059), Sichuan Key Technology Research and Development Program (2012GZ0019, 2011FZ0051), and the Innovation Fund of Postgraduate (Xihua university) (YCJJ201230), and the research fund of education department of Sichuan province (10ZC058).

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Copyright information

© Springer-Verlag Berlin Heidelberg 2014

Authors and Affiliations

  1. 1.Xihua University, the School of Mathematics and Computer EngineeringChengduChina

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