A Specific Combination Scheme for Modulation Identification of Mixed Modulation Signal

• Main Authors: YANG Faquan, LI Zan, LI Hongyan, HUANG Haiyan
• Format: Article
• Language: English
• Published: IFSA Publishing, S.L. 2014-05-01
• Series: Sensors & Transducers
• Subjects: Mixed modulation signal; Combination eigenvalue; Modulation identification.; Tree classifier algorithm
• Online Access: http://www.sensorsportal.com/HTML/DIGEST/may_2014/Vol_170/P_2050.pdf

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.