Cnn-based demodulating and decoding systems and methods for universal receiver

Abstract

Presented are systems and methods for automatically decoding and demodulating radio signals in a communication network. Embodiments utilize a one-dimensional (1D) convolutional neural network (CNN) as the key architecture of a decoder that utilizes one or more 1D convolution windows to perform convolution operations on to-be-decoded or demodulated input signals received by the communication network. In embodiments, this may be achieved by receiving, at a CNN correlator implemented in a decoder, an input signal that comprises unknown data and applying to the input signal, in the discrete time domain, a convolution to obtain a CNN correlator output to which an activation may be applied to decode the input signal and output the decoded signal.