An Algorithm for Automatic Recogniton of Digital QAM Modulations

Open access


This paper proposes a new Matlab-developed algorithm for automatic recognition of digital modulations using the constellation of states. Using this technique the automatic distinction between four digital modulation schemes (8-QAM, 16-QAM, 32-QAM and 64-QAM) was made. It has been seen that the efficiency of the algorithm is influenced by the type of modulation, the value of the signal-to-noise ratio and the number of samples. In the case of an AWGN noise channel the simulation results indicated that the value of SNR (signal-to-noise ratio) has a small influence on the recognition rate for lower-order QAM (8-QAM and 16-QAM). The length of the signal may change essentially the recognition rate of this algorithm especially for modulations with a high number of bits per symbol. Consequently, for the 64-QAM modulation in a case of 25dB signal-to-noise ratio the recognition rate is doubled if the sample rate is incresed from 5400 to 80640.

If the inline PDF is not rendering correctly, you can download the PDF file here.

  • [1] D. I. Badreldeen & A. I. Hesham “New Algorithms for Automatic Modulation Recognition for Analogue Signals Using Multi Features” in International Journal of Signal Processing Systems vol II 2014.

  • [2] Y. T. Chan L. G. Godbois. & P. Yansouni (1985) “Identification of the modulation type of a signal” in Proc. IEEE International Conference of Acoustic Speech and Signal Processing vol 10 1985 pp. 838-841.

  • [3] W. Juan-ping H. Ying-zheng Z. Jin-mei & W. Hun-kui “Automatic Modulation Recognition of Digital Communication Signals” in 2010 First International Conference on Pervasive Computing Signal Processing and Applications 2010 pp. 590-593.

  • [4] A. K. Nandi & E. E. Azzouz “Algorithms for automatic modulation recognition of communication signals” in IEEE Transactions on Communications vol 46 1998 pg. 431-436.

  • [5] S. Ghasemi & A. Gangal “An effective algorithm for automatic modulation recognition” in Signal Processing and Communications Applications Conference (SUI) 2014 22nd pg. 903-906.

Journal information
Target audience: researchers in the fields of political and financial law
All Time Past Year Past 30 Days
Abstract Views 0 0 0
Full Text Views 57 57 1
PDF Downloads 37 37 2