Dependence of Demodulation Performance on Bandwidth for Underwater Acoustic Communication with a Fast Moving Terminal in Shallow Water

Zadoff-Chu (ZC) sequences are widely used for synchronization and uniform Doppler estimation in communication systems. Although ZC sequences offer high correlation peaks for signal detection in underwater acoustic communication (UWAC) under severe Doppler shifts, they may result in inaccurate time synchronization and Doppler estimation, particularly under narrow bandwidth conditions. Such inaccuracies degrade demodulation performance due to timing errors in down-sampling. Adaptive digital down-conversion (ADDC) has been proposed to mitigate errors in down-sampling timing caused by nonuniform Doppler shifts. This study evaluates the performance of ADDC through simulations in shallow water, where a terminal moves at 10 kn. Simulation results show that timing errors caused by ZC sequences degrade demodulation performance in horizontal communication under narrow bandwidth, due to more significant Doppler shifts compared to vertical communication. Furthermore, the results indicate the possibility that ADDC effectively mitigates this degradation, demonstrating its effectiveness in horizontal channels with fast-moving terminals.

Authors

Institutions

Publication Details

Published
2025-06-16
DOI
https://doi.org/10.1109/oceans58557.2025.11104568
Primary Topic
Underwater Vehicles and Communication Systems
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Dependence of Demodulation Performance on Bandwidth for Underwater Acoustic Communication with a Fast Moving Terminal in Shallow Water

Mitsuyasu Deguchi, Yoshitaka Watanabe, Yukihiro Kida, Takuya Shimura et al.
1 links
Underwater Vehicles and Communication Systems
article

Dependence of Demodulation Performance on Bandwidth for Underwater Acoustic Communication with a Fast Moving Terminal in Shallow Water

Mitsuyasu Deguchi, Yoshitaka Watanabe, Yukihiro Kida, Takuya Shimura, Hiroshi Kubo
article en

Abstract

Zadoff-Chu (ZC) sequences are widely used for synchronization and uniform Doppler estimation in communication systems. Although ZC sequences offer high correlation peaks for signal detection in underwater acoustic communication (UWAC) under severe Doppler shifts, they may result in inaccurate time synchronization and Doppler estimation, particularly under narrow bandwidth conditions. Such inaccuracies degrade demodulation performance due to timing errors in down-sampling. Adaptive digital down-conversion (ADDC) has been proposed to mitigate errors in down-sampling timing caused by nonuniform Doppler shifts. This study evaluates the performance of ADDC through simulations in shallow water, where a terminal moves at 10 kn. Simulation results show that timing errors caused by ZC sequences degrade demodulation performance in horizontal communication under narrow bandwidth, due to more significant Doppler shifts compared to vertical communication. Furthermore, the results indicate the possibility that ADDC effectively mitigates this degradation, demonstrating its effectiveness in horizontal channels with fast-moving terminals.

Japan Agency for Marine-Earth Science and Technology (JP), Ritsumeikan University (JP)
Life below water
Openalex Percentile: Top 75%
Underwater Vehicles and Communication Systems
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Dependence of Demodulation Performance on Bandwidth for Underwater Acoustic Communication with a Fast Moving Terminal in Shallow Water — Mitsuyasu Deguchi, Yoshitaka Watanabe, et al. · (2025) | TGRS Research Map | TGRS