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A Hierarchical Digital Modulation Classification Algorithm for Adaptive Wireless Communication Systems

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Abstract

Blind modulation classification has been applied in adaptive transmission, non-cooperative communications, and interference identification. This paper propose a novel hierarchical classifier for four digital modulation schemes. The hierarchical classifier is based on quasi-log-likelihood ratio. Its performance is verified via extensive simulations. Simulation results show that the hierarchical algorithm is effective for classification of four SQAM signals.

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Authors and Affiliations

  1. Broadband Wireless Communications Laboratory, Information Science Institute, State Key Laboratory of ISN, Xidian University, Xi‘an, 710071, China

    Feng Xiang & Li Jiandong

Authors
  1. Feng Xiang
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  2. Li Jiandong
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Correspondence to Feng Xiang.

Additional information

FENG Xiang received the B.S. and M.S. degrees in Electronics Engineering from The Missile College of the Air Force PLA, China, in 1991 and 1994, respectively. He is currently working toward the Ph.D degree at Xidian University, Xi'an, China. His research interests include digital communication systems, digital signal processing, adaptive transmission, and multicarrier modulation.

LI Jiandong was graduated from Xidian University with Bachelor Degree, Master Degree and Ph.D in communications and Electronic System respectively in 1682, 1985 and 1991. He is Professor and Dean of School of Telecommunications Engineering, Xidian University. He is a senior member of IEEE and CIE and the fellow of CIC. His research interests include Broadband Wireless Communications, Ad hoc Networks, and Software Radio.

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Xiang, F., Jiandong, L. A Hierarchical Digital Modulation Classification Algorithm for Adaptive Wireless Communication Systems. Wireless Pers Commun 39, 321–326 (2006). https://doi.org/10.1007/s11277-006-9055-4

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  • DOI: https://doi.org/10.1007/s11277-006-9055-4

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