A neural demodulator for amplitude shift keying signals

A neural demodulator is proposed for amplitude shift keying (ASK) signal. It has several important features compared with conventional linear methods. First, necessary functions for ASK demodulation, including wide-band noise rejection, pulse waveform shaping, and decoding, can be embodied in a single neural network. This means these functions are not separately designed but unified in a learning and organizing process. Second, these functions can be self-organized through the learning. Supervised learning algorithms, such as the backpropagation algorithm, can be applied for this purpose. Finally, both wide-band noise rejection and a very sharp waveform response can be simultaneously achieved. It is very difficult to be done by linear filtering. Computer simulation demonstrates efficiency of the proposed method