AUTOMATIC MODULATION RECOGNITION OF COMMUNICATION SIGNALS

One of a key problem in non-cooperative communication is the automatic recognition of modulation signals. Artificial Neural Networks (ANN) is a hot spot among emerging technologies for pattern recognition. This paper is aimed at designing an intelligent communication system where the receiver is able to detect the modulation scheme of the signal it receives using Automatic Modulation Recognition (AMR) algorithms, with having minimum or no prior knowledge of the transmitted signal. Seven digital modulation schemes namely QPSK, BPSK, 2ASK, 4ASK, 2FSK, 4FSK and 16QAM are used. Algorithms based on deriving key spectral features from the communication signal are formed. The extracted features pass through a Neural Network to distinguish between signals having different modulation schemes.