Journal of Systems Engineering and Electronics ›› 2013, Vol. 35 ›› Issue (3): 615-618.doi: 10.3969/j.issn.1001-506X.2013.03.28

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Fast algorithm for maximum likelihood modulation classification

JIN Xiao-yan1, ZHOU Xi-yuan1,2   

  1. 1. National Key Laboratory of Integrated Services Networks, Xidian University,Xi’an 710071, China;
     2. The 54th Institute, China Electronics Technology Group Corporation, Shijiazhuang 050081, China
  • Online:2013-03-20 Published:2010-01-03

Abstract:

Aiming at the high computational complexity of the maximum likelihood modulation classification method, a discrete maximum likelihood algorithm which can be used in real-time software-defined receivers is proposed. By use of the pre-stored discrete likelihood function value, one can directly look-up a table and pick up the results to eliminate the time-consuming computation of the likelihood function. And this algorithm is robustness to carrier frequency offset and phase offset. Simulation results show that the algorithm can efficiently reduce the computation complexity at a very little sacrifice of performance compared with the optimum maximum likelihood modulation classification method.

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