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Vol. 170, Issue 5, May 2014, pp. 153-159




A Specific Combination Scheme for Modulation Identification of Mixed Modulation Signal

1, 2 YANG Faquan, 1 LI Zan, 1 LI Hongyan, 1 HUANG Haiyan

1 State Key Laboratory of Integrated Service Networks, Xidian University, Xian 710071, China
2 School of Electrical and Information Engineering, Foshan University, Foshan 528000, China
1 Tel.: 029-88203751, fax: 029-88203751

E-mail: yafaquan.fosu@163.com


Received: 11 March 2014 /Accepted: 30 April 2014 /Published: 31 May 2014

Digital Sensors and Sensor Sysstems


Abstract: In this paper, we propose a specific combination scheme for modulation identification of mixed modulation signal based on decision theory and the tree classifier. In order to reduce the noise interference and improve the accuracy of modulation identification, we adopt the joint modulation signal characteristics with eigenvector made up of the number of subcarrier signal, envelope variance of mean normalization and the statistical value of subcarrier signal instantaneous amplitude distribution in identification of external modulation and internal modulation. Simulation results show that modulation identification ratio is close to 90 % when the SNR is 6 dB. And the proposed scheme outperforms the existing mixed modulation scheme.


Keywords: Tree classifier algorithm, Mixed modulation signal, Combination eigenvalue, Modulation identification.


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