DNN-based receiver for one-bit ADC distortion in OFDM system
The Orthogonal frequency-division multiplexing (OFDM) system is extensively employed in the 5th generation wireless communication systems. In this dissertation, deep neural networks (DNNs) are used for channel estimation as well as signal detection instead of conventional ways. This dissertation st...
Saved in:
Main Author: | Gu, Ruixuan |
---|---|
Other Authors: | Teh Kah Chan |
Format: | Thesis-Master by Coursework |
Language: | English |
Published: |
Nanyang Technological University
2022
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/158352 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
Study of a novel adaptive bit loading and power control scheme for OFDM systems
by: Song, Zhefeng.
Published: (2008) -
Bit-error rate simulation and analysis of various frequency-hopped multiple-access receivers
by: Wang, Kaiyuan
Published: (2020) -
Application of deep-learning based approach for OFDM system
by: Zhang, Yutong
Published: (2022) -
Study on joint radar and communication system based on OFDM-MIMO
by: Pan, Ruoyan
Published: (2021) -
Fast GAMP algorithm for nonlinearly distorted OFDM signals
by: Yang, Chaosan, et al.
Published: (2023)