Application of deep-learning based approach for OFDM system

In comparison to other modulation techniques, Orthogonal frequency-division multiplexing (OFDM) techniques are widely used for wireless communications. It has high spectral efficiency, is immune to impulse interference, and can handle very strong echoes. However, channel estimation and signal detect...

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Bibliographic Details
Main Author:	Zhang, Yutong
Other Authors:	Teh Kah Chan
Format:	Final Year Project
Language:	English
Published:	Nanyang Technological University 2022
Subjects:	Engineering::Electrical and electronic engineering::Wireless communication systems
Online Access:	https://hdl.handle.net/10356/158302
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Institution:	Nanyang Technological University
Language:	English

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spelling	sg-ntu-dr.10356-1583022023-07-07T18:57:31Z Application of deep-learning based approach for OFDM system Zhang, Yutong Teh Kah Chan School of Electrical and Electronic Engineering EKCTeh@ntu.edu.sg Engineering::Electrical and electronic engineering::Wireless communication systems In comparison to other modulation techniques, Orthogonal frequency-division multiplexing (OFDM) techniques are widely used for wireless communications. It has high spectral efficiency, is immune to impulse interference, and can handle very strong echoes. However, channel estimation and signal detection are difficult for OFDM system without cyclic prefix. Therefore, the aim of this report is to design an AI receiver to estimate channels and detect channels of OFDM system. The accuracy of the model will be tested by comparing the Bit-error rate (BER) of simulation results. The network model was built by using python. Bachelor of Engineering (Electrical and Electronic Engineering) 2022-05-31T07:04:50Z 2022-05-31T07:04:50Z 2022 Final Year Project (FYP) Zhang, Y. (2022). Application of deep-learning based approach for OFDM system. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/158302 https://hdl.handle.net/10356/158302 en A3258-211 application/pdf Nanyang Technological University
institution	Nanyang Technological University
building	NTU Library
continent	Asia
country	Singapore Singapore
content_provider	NTU Library
collection	DR-NTU
language	English
topic	Engineering::Electrical and electronic engineering::Wireless communication systems
spellingShingle	Engineering::Electrical and electronic engineering::Wireless communication systems Zhang, Yutong Application of deep-learning based approach for OFDM system
description	In comparison to other modulation techniques, Orthogonal frequency-division multiplexing (OFDM) techniques are widely used for wireless communications. It has high spectral efficiency, is immune to impulse interference, and can handle very strong echoes. However, channel estimation and signal detection are difficult for OFDM system without cyclic prefix. Therefore, the aim of this report is to design an AI receiver to estimate channels and detect channels of OFDM system. The accuracy of the model will be tested by comparing the Bit-error rate (BER) of simulation results. The network model was built by using python.
author2	Teh Kah Chan
author_facet	Teh Kah Chan Zhang, Yutong
format	Final Year Project
author	Zhang, Yutong
author_sort	Zhang, Yutong
title	Application of deep-learning based approach for OFDM system
title_short	Application of deep-learning based approach for OFDM system
title_full	Application of deep-learning based approach for OFDM system
title_fullStr	Application of deep-learning based approach for OFDM system
title_full_unstemmed	Application of deep-learning based approach for OFDM system
title_sort	application of deep-learning based approach for ofdm system
publisher	Nanyang Technological University
publishDate	2022
url	https://hdl.handle.net/10356/158302
_version_	1772825882524647424

Application of deep-learning based approach for OFDM system

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