A Novel Sonar-Communication System Based on Incremental-Frequency-Interval Acoustic Frequency Comb Signal

Joint communication and detection systems present distinct benefits in terms of spectral efficiency and cost-effectiveness for the Internet of Underwater Things (IoUT). Due to the unique characteristics of underwater acoustic channels, existing radar communication (RadCom) signals and detection methods have shortcomings when applied underwater: 1) Doppler ambiguity caused by signal features. We propose a novel incremental frequency interval acoustic frequency comb (IFI-AFC) signal which performs better autocorrelation performance in the Doppler dimension to overcome the Doppler ambiguity underwater. 2) Range and velocity constrain each other caused by the popular Range-Doppler process method. We propose the energy spectrum matching (ESM) algorithm which serves as an alternative to the Range-Doppler process in the underwater scenario, avoiding the constraint relationship between maximum measurable unambiguous range and velocity. The proposed sonar-communication (SonarCom) system based on IFI-AFC and ESM has excellent multitarget discrimination capability, making it more suitable for applications in SonarCom scenarios.

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Publication Details

Journal
IEEE Internet of Things Journal
Published
2024-11-04
DOI
https://doi.org/10.1109/jiot.2024.3489636
Citations
5
Primary Topic
Radar Systems and Signal Processing
Type
article
Field-Weighted Citation Impact
6.49

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article

A Novel Sonar-Communication System Based on Incremental-Frequency-Interval Acoustic Frequency Comb Signal

Xiaomei Fu, Zhiwen Qian, Shuai Liu, Junlong Wang
5 citations
IEEE Internet of Things Journal
Radar Systems and Signal Processing
6.49
article

A Novel Sonar-Communication System Based on Incremental-Frequency-Interval Acoustic Frequency Comb Signal

Xiaomei Fu, Zhiwen Qian, Shuai Liu, Junlong Wang
article en
5 citations

Abstract

Joint communication and detection systems present distinct benefits in terms of spectral efficiency and cost-effectiveness for the Internet of Underwater Things (IoUT). Due to the unique characteristics of underwater acoustic channels, existing radar communication (RadCom) signals and detection methods have shortcomings when applied underwater: 1) Doppler ambiguity caused by signal features. We propose a novel incremental frequency interval acoustic frequency comb (IFI-AFC) signal which performs better autocorrelation performance in the Doppler dimension to overcome the Doppler ambiguity underwater. 2) Range and velocity constrain each other caused by the popular Range-Doppler process method. We propose the energy spectrum matching (ESM) algorithm which serves as an alternative to the Range-Doppler process in the underwater scenario, avoiding the constraint relationship between maximum measurable unambiguous range and velocity. The proposed sonar-communication (SonarCom) system based on IFI-AFC and ESM has excellent multitarget discrimination capability, making it more suitable for applications in SonarCom scenarios.

IEEE Internet of Things JournalVol. 12(5)
Tianjin University of Science and Technology (CN), Ministry of Natural Resources (CN)
National Natural Science Foundation of China
Affordable and clean energy
Openalex Percentile: Top 4%
Radar Systems and Signal Processing
6.49
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A Novel Sonar-Communication System Based on Incremental-Frequency-Interval Acoustic Frequency Comb Signal — Xiaomei Fu, Zhiwen Qian, et al. · IEEE Internet of Things Journal (2024) | TGRS Research Map | TGRS