Study of Underwater Acoustic Positioning and Communication Integrated System Signal

Lv, Chengcai; Shen, Binjian; Tian, Chan; Zhang, Shengzong; Ou, Wen; Li, Jun; Song, Yuanjie; Luo, Peng

doi:10.1109/icsp54964.2022.9778776

Cited by 4 publications

(2 citation statements)

References 18 publications

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“…With the increasing development of science and technology, the development and utilization of marine resources have been prioritized by many countries. In the current research and exploitation of marine resources, acoustic signals for underwater remote detection and communication [1] are the most effective and are an effective vehicle that enables information transfer in the ocean. There are rich sound signals in the ocean, which mainly include artificial sound source signals, easily causing stranding and unnatural death [5].…”

Section: Introductionmentioning

confidence: 99%

Whale sound signal denoising based on SVMD and improved wavelet thresholding

Zhang,

Bai,

Wen

et al. 2024

Meas. Sci. Technol.

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Cetaceans have formed a set of sonar systems that rely on acoustic waves for communication, positioning, and environmental recognition in their long-term evolution. This sonar system is characterized by strong anti-interference ability, high localization accuracy, and strong recognition ability. Effective denoising of cetacean sound is the first link in the process of applying cetacean signal analysis. For the problem of effective denoising of whale sound signals in complex underwater environments, a new denoising method based on successive variational mode decomposition (SVMD) and improved wavelet thresholding is proposed. Firstly, the noisy high-frequency intrinsic mode functions (IMFs) obtained by SVMD decomposition are sieved by the correlation coefficient method; then, these high-frequency components are subjected to improved wavelet thresholding for noise reduction; finally, the signal is reconstructed with the low-frequency IMFs. The simulation results show that the denoising method works well, and the signal-to-noise ratio is high and the root-mean-square error is low, which effectively preserves the important information of the original signal.

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Section: Introductionmentioning

confidence: 99%

Whale sound signal denoising based on SVMD and improved wavelet thresholding

Zhang,

Bai,

Wen

et al. 2024

Meas. Sci. Technol.

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“…Underwater acoustics (UWAs), which are still the only efficient wireless signal for long-range transmission in the sea, will be exploited to provide interaction and location information for underwater vehicles or users, e.g., remotely operated vehicles (ROVs) and autonomous underwater vehicles (AUVs). The UWA communication, navigation and detection integration system (UCNDIS) [2] is gradually regarded as the prospective solution to the implementation of the oceanic PNT network. Loosely coupled UCNDISs consist of multiple acoustic devices with different functions, e.g., a UWA communication modem, an ultra-short base line (USBL) system and so on, to achieve functional integration.…”

Section: Introductionmentioning

confidence: 99%

Virtual Space-Time DiversityTurbo Equalization Using Cluster Sparse Proportional Recursive Least Squares Algorithm for Underwater Acoustic Communications

Han,

Tao,

Zhang

et al. 2023

Applied Sciences

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The oceanic positioning, navigation and timing (PNT) network requires high-quality underwater acoustic message transmission. Turbo equalization technology has exhibited superior performance for underwater acoustic (UWA) communications compared with conventional channel equalizers. To overcome the performance reduction caused by severe doubly selective UWA channels, the virtual space-time diversity soft direct-adaptation turbo equalization is proposed for UWA communications. The proposed scheme improves the ability of the typical turbo equalizer to deal with both Doppler and multipath effects for time varying channels. We utilize a fractionally spaced soft interference cancellation equalizer (FS-SE) instead of a hard decision to constitute the soft-input soft-output (SISO) equalizer. Combined with another virtual time-reversal mirror equalizer component, we can obtain virtual space and time diversity with only a single receiving transducer and mitigate the error propagation phenomenon of the feedback filter. To satisfy the sparse UWA channel, the ℓp,q-PRLS algorithm is applied to adaptive updates for FS-SE. In the proposed scheme, an adjustable interpolator and digital phase-locked loop are embedded into the equalizer to overcome the residual Doppler frequency shift and recover the timing distortion. Results of simulations and field lake trial show that the proposed scheme achieves better performance than existing ones under the same equalizer order.

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Method to Supply Acoustic Positioning and Communication Service Simultaneously for Underwater Multiple Users

Shen

Guoshun

et al. 2022

2022 2nd International Conference on Computer Science, Electronic Information Engineering and Intelligent Control Technology (C

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Study of Underwater Acoustic Positioning and Communication Integrated System Signal

Cited by 4 publications

References 18 publications

Whale sound signal denoising based on SVMD and improved wavelet thresholding

Whale sound signal denoising based on SVMD and improved wavelet thresholding

Virtual Space-Time DiversityTurbo Equalization Using Cluster Sparse Proportional Recursive Least Squares Algorithm for Underwater Acoustic Communications

Method to Supply Acoustic Positioning and Communication Service Simultaneously for Underwater Multiple Users

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