Simple and Efficient Algorithm for Automatic Digital Modulation Recognition

  • Badreldeen Ismail Dahap
  • Liao HongShu
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 246)


In this paper we propose new features extracted from the instantaneous information (amplitude, frequency and phase) to discriminate between digital modulated signals MASK (2, 4 and 8), MFSK (2, 4 and 8) and MPSK (2, 4 and 8). By setting the appropriate threshold, the average recognition rate can reach 99.5 % when SNR = 8 dB. This algorithm is easy to implement and has small computation loads due to the use of less number of features comparing with most of the existing algorithms of automatic digital modulation recognition.


Instantaneous information Modulation recognition and features 


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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  1. 1.School of Electronic EngineeringUniversity of Electronic Science and Technology of ChinaChengduP. R China

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