Identification of cognitive radio modulation

For cognitive radio intelligent communication system, communication signals' modulation recognition has important significance. The seven character parameter reflecting the differences of the modulations were extracted. The neural network algorithm combining with decision-theoretic algorithm classifier is established. Simulation result shows that this classifier has better performance for modulation recognition.