基于高阶累积量和循环谱的信号调制方式混合识别算法

doi:10.11999/JEIT150747

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Abstract

To recognize the major modulation schemes which are applied to concurrent communication systems, a joint method based on the high-order cumulants and cyclic spectrum with intelligent decision algorithm (neural network) is proposed to recognize the modulation schemes for digital signals. Firstly, a new featured parameter is extracted from the four-order and six-order cumulants of the digital signals to identify the modulation schemes of {BPSK, 2ASK}, {QPSK}, {2FSK, 4FSK}, {MSK}, and {16QAM, 64QAM}, then {OFDM}, {16QAM, 64QAM}, {2ASK, BPSK}, and {2FSK, 4FSK} are classified by the other featured parameters of the joint high-order cumulants and cyclic spectrum algorithms. In order to facilitate the engineering implementation, the semi-physical simulation and mixed programming of LabVIEW and MATLAB are used to validate the proposed algorithms. Simulation results show that the algorithms can recognize modulations {OFDM, BPSK, QPSK, 2ASK, 2FSK, 4FSK, MSK, 16QAM, 64QAM} with small Signal-to-Noise Ratio (SNR). The average recognition rate is more than 94% with SNR greater or equal than 5 dB, which validates the effectiveness of the proposed algorithms.

Key words： Modulation recognition High-order cumulants Cyclic spectrum Neural network

Received: 18 June 2015 Published: 22 January 2016

PACS:

TN92

Fund:

The National Natural Science Foundation of China (61372051)

Corresponding Authors: GUO Chunxia E-mail: guochunxia1002@163.com

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	ZHAO Xiongwen
	GUO Chunxia
	LI Jingchun

Cite this article:

ZHAO Xiongwen,GUO Chunxia,LI Jingchun. Mixed Recognition Algorithm for Signal Modulation Schemes by High-order Cumulants and Cyclic Spectrum[J]. JEIT, 2016, 38(3): 674-680.

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http://jeit.ie.ac.cn/EN/10.11999/JEIT150747 OR http://jeit.ie.ac.cn/EN/Y2016/V38/I3/674

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