Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/158302
Title: Application of deep-learning based approach for OFDM system
Authors: Zhang, Yutong
Keywords: Engineering::Electrical and electronic engineering::Wireless communication systems
Issue Date: 2022
Publisher: Nanyang Technological University
Source: 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
Project: A3258-211
Abstract: 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.
URI: https://hdl.handle.net/10356/158302
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:EEE Student Reports (FYP/IA/PA/PI)

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