基于多重分形特征的通信调制方式识别研究

doi:10.11999/JEIT150703

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Abstract

A new modulation recognition algorithm of digital communication signals based on the multi-fractal dimension characteristics is proposed. Employing preprocessing the received signal, the generalized dimension and the multi-fractal spectrum can be calculated by 2D data array. The effect of multi-fractal spectrum due to the weighted factors q is discussed in detail, the 13 multi-fractal characteristic parameters are extracted. The Support Vector Machine (SVM) classifier based on the multi-fractal dimension characteristics is designed for recognition of different modulation signals. Simulation results show that the proposed method has a good recognition performance under low SNR.

Key words： Modulation recognition Multi-fractal dimension characteristics Generalized dimension Support Vector Machine (SVM)

Received: 08 June 2015 Published: 29 February 2016

PACS:

TN92

Fund:

The National Natural Science Foundation of China (61571446), The Natural Science Foundation of Anhui Province (KY13C152)

Corresponding Authors: CHEN Hong E-mail: hplanhf@126.com

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	CHEN Hong
	CAI Xiaoxia
	XU Yun
	LIU Wentao

Cite this article:

CHEN Hong,CAI Xiaoxia,XU Yun等. Communication Modulation Recognition Based on Multi-fractal Dimension Characteristics[J]. JEIT, 2016, 38(4): 863-869.

URL:

http://jeit.ie.ac.cn/EN/10.11999/JEIT150703 OR http://jeit.ie.ac.cn/EN/Y2016/V38/I4/863

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