Systems Engineering and Electronics ›› 2018, Vol. 40 ›› Issue (1): 171-177.doi: 10.3969/j.issn.1001-506X.2018.01.25

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Modulation recognition algorithm based on high-order cumulants and wavelet transform

TAN Xiaoheng1,2, CHU Guoxing2, ZHANG Xuejing2, YANG Yang3#br#

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  1. 1. Chongqing Key Laboratory of Bioperception & Intelligent Information Processing, Chongqing University, Chongqing 400044, China; 2. College of Communication Engineering, Chongqing University, Chongqing 400044, China; 3. Anhui Sun Create Electronics Company Limited, Hefei 230001, China
  • Online:2018-01-08 Published:2018-01-08

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Abstract: A joint method is proposed based on combination of highorder cumulants and wavelet transform for recognizing the major modulation schemes at low signal-to-noise ratios (SNRs) which are applied to concurrent communication systems. Two feature parameters using amplitude and phase of digital signals after wavelet transform and a new feature parameter are extracted from four-order and six-order cumulants and are used to identify the modulation schemes with back propagation neural network classifier. Simulation results show that the average recognition rate is more than 98% with SNR higher than 2dB, which proves the validity and robustness of the method.

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