Machine learning based technique for detection of communication signal under noise floor

Abstract

The goal of this dissertation is to try to apply artificial intelligence algorithms to the field of signal detection. First, I studied and simulated the communication channel and common digital communication modulations to construct the experimental environment. The traditional signal detection algorithms are applied to the simulated channel to observe the detection level of the traditional algorithm. These algorithms include: Envelope Detection, Correlation Detection and Power Spectrum Detection. Then Convolutional Neural Network (CNN) is mainly discussed, including the basic thinking of CNN, the adjustment of various parameters for the neural network, and the algorithm results. Keywords: Artificial Intelligence Algorithms, Signal Detection, Modulations, Envelope Detection, Correlation Detection, Power Spectrum Detection, Convolutional Neural Network.