Journal of Beijing University of Posts and Telecommunications

  • EI核心期刊

JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM ›› 2014, Vol. 37 ›› Issue (1): 31-34.doi: 10.13190/j.jbupt.2014.01.007

• Papers • Previous Articles     Next Articles

Modulation Recognition Using Adaptive MCMC in Multipath Fading Channel

JIN Xiao-yan1, ZHOU Xi-yuan1,2, ZHANG Wan-lin3   

  1. 1. National Key Laboratory of Integrated Services Networks, Xidian University, Xi'an 710071, China;
    2. The No.54 Research Institute of CETC, Shijiazhuang 050081, China;
    3. Xi'an Institute of Applied Optics, Xi'an 710065, China
  • Received:2012-12-12 Online:2014-02-28 Published:2014-01-07

Abstract:

A new algorithm based on adaptive Metropolis algorithm for recognizing phase-amplitude-modulated signals in multipath fading channel was proposed. The method uses the full history of the chain to tune covariance of the proposal distribution adaptively. This adaptation strategy can approach an approximation of the target distribution, which can avoid the problem of selecting proposal distribution in traditional Metropolis algorithm and improve the sampling efficiency effectively. Simulation show that the proposed method has high accuracy which verifies the validity of the algorithm.

Key words: modulation classification, multipath fading, adaptive Metropolis, Markov chain Monte Carlo

CLC Number: