The Use of Artificial Neural Networks for Automatic Modulation Recognition
Automatic modulation recognition (AMR) is a technique for classifying the modulation scheme of an intercepted and possibly noisy signal whose modulation scheme is unknown. There exists a variety of techniques for AMR, which can be classified as decision theoretic, statistical pattern recognition and artificial neural network (ANN) techniques. This text focuses on the latter through a short introduction to ANNs followed by a chronological review of some of the available literature on this topic. Finally, some of the challenges of the use of ANNs for AMR are discussed.