Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/162266
Title: Machine learning based technique for detection of communication signal under noise floor
Authors: Zhong, Hongrui
Keywords: Engineering::Electrical and electronic engineering::Wireless communication systems
Issue Date: 2022
Publisher: Nanyang Technological University
Source: Zhong, H. (2022). Machine learning based technique for detection of communication signal under noise floor. Master's thesis, Nanyang Technological University, Singapore. https://hdl.handle.net/10356/162266
Project: ISM-DISS-02424
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.
URI: https://hdl.handle.net/10356/162266
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:EEE Theses

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