Learn More
A new modulation classification method for M-ary QAM (MQAM) is proposed in this paper. Our method employs two dimensional decision variable composed of amplitude and cosine moments. Numerical results of the classification error probability show that the method presents superior classification performance for MQAM compared with amplitude moments or cosine(More)
  • 1