Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/173916
Title: Underwater channel modelling, digital modem design and simulation
Authors: Wang, Xuchen
Keywords: Computer and Information Science
Issue Date: 2023
Publisher: Nanyang Technological University
Source: Wang, X. (2023). Underwater channel modelling, digital modem design and simulation. Master's thesis, Nanyang Technological University, Singapore. https://hdl.handle.net/10356/173916
Abstract: Due to the unique propagation characteristics of acoustic waves and the presence of noise from natural and man-made sources in underwater environments, modems used for such purposes often require custom tuning for specific locations and use-case scenarios. This thesis delves into the impact of increased reflections in underwater environments on Underwater Acoustic (UWA) channels. Our investigation, conducted within a metallic shipyard in Singapore, uncovers amplified sparsity and multipath attributes. We suggest that modems with lower transmission rates are more suitable in scenarios with diverse and prolonged delays. Bhattacharya Distance results indicate a Nakagami distribution for channels with increased reflections. In the domain of underwater modem design, the thesis focuses on channel estimation in underwater Orthogonal Frequency Division Multiplexing (OFDM) communication. Utilizing Bellhop to simulate ideal increased-reflection scenarios, we explore Least Squares (LS), Minimum Mean Square Error (MMSE), and Orthogonal Matching Pursuit (OMP) channel estimators . Noise reduction algorithms are evaluated, with the DFT-based scheme and SVD algorithm enhancing estimator performance. The thesis introduces an upgraded Pilot-Assisted OFDM modem system with DFT-SVD noise reduction, effectively mitigating channel estimation noise in low Signal-to-Noise Ratio scenarios, thus offering valuable insights for enhancing the robustness and performance of UWA communication systems.
URI: https://hdl.handle.net/10356/173916
Schools: School of Electrical and Electronic Engineering 
Organisations: Institute for Infocomm Research(I2R), A*Star 
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:EEE Theses

Files in This Item:
File Description SizeFormat 
Signed_Dissertation_modification_20240305.pdf
  Restricted Access
2.45 MBAdobe PDFView/Open

Page view(s)

129
Updated on Mar 17, 2025

Download(s)

3
Updated on Mar 17, 2025

Google ScholarTM

Check

Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.