Adaptive Index Modulated OFDM Spread Spectrum for Underwater Acoustic Integrated Sensing and Communication Networks

Wang, Junfeng; Cui, Yue; Zhou, Mingzhang; Sun, Haixin; Liu, Lanjun; Zhang, Ailing

doi:10.1109/icspcc59353.2023.10400258

2023 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC) 2023

DOI: 10.1109/icspcc59353.2023.10400258

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Adaptive Index Modulated OFDM Spread Spectrum for Underwater Acoustic Integrated Sensing and Communication Networks

Junfeng Wang,

Yue Cui,

Mingzhang Zhou

et al.

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2024

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Cited by 1 publication

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ISAC-Enabled Underwater IoT Network Localization: Overcoming Asynchrony, Mobility, and Stratification Issues

Jehangir,

Majid Ashraf,

Amin Khalil

et al. 2024

IEEE Open J. Commun. Soc.

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In oceanographic and environmental monitoring, achieving precise localization and sensing through Integrated Sensing and Communication (ISAC) within the Internet of Underwater Things (IoUT) networks is paramount. However, ISAC-based IoUT systems present distinctive challenges, including depth-dependent propagation speed, asynchronous clock synchronization, and node mobility. This paper introduces an efficient asynchronous localization method explicitly tailored for ISAC-based IoUT networks, which effectively addresses both the stratification effect and node mobility. Our approach centers on an iterative least squares (LS) algorithm designed to localize Autonomous Underwater Vehicles (AUVs) while carefully considering propagation delay and location estimation. Furthermore, we introduce a mobility model grounded in target sensing mechanisms that rely on AUVs' spatial coordinates and propulsion velocities, thereby enhancing the accuracy of target position estimation. We propose a novel precoding design for sensing using random acoustic signals within IoUT networks. To validate the effectiveness of our method, we conduct comprehensive Monte Carlo simulations and benchmark the results against stateof-the-art techniques. The findings demonstrate a significant reduction in estimation errors, confirming the superior efficiency of our approach compared to existing methods.

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ISAC-Enabled Underwater IoT Network Localization: Overcoming Asynchrony, Mobility, and Stratification Issues

Jehangir,

Majid Ashraf,

Amin Khalil

et al. 2024

IEEE Open J. Commun. Soc.

View full text Add to dashboard Cite

show abstract

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Adaptive Index Modulated OFDM Spread Spectrum for Underwater Acoustic Integrated Sensing and Communication Networks

Cited by 1 publication

References 27 publications

ISAC-Enabled Underwater IoT Network Localization: Overcoming Asynchrony, Mobility, and Stratification Issues

ISAC-Enabled Underwater IoT Network Localization: Overcoming Asynchrony, Mobility, and Stratification Issues

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