Cross power spectral density based beamforming for underwater acoustic communications

Li, Jianghui; Bai, Yechao; Zhang, Youwen; Qu, Fengzhong; Wei, Yan; Wang, Junfeng

doi:10.1016/j.oceaneng.2020.107786

Cited by 12 publications

(8 citation statements)

References 47 publications

(87 reference statements)

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“…Post-processing beamforming algorithms depend on the cross-spectral density matrix (CSDM), where CSDM is similar to the time-domain cross-correlation, which is used to estimate the correlation between two signals. In addition, CSDM is usually used in signal processing procedures, such as sound source detection, location, and classification [3][4][5][6][7]. The CSDM is constructed by storing the cross-spectral density of each sensor (array element) at all frequencies in the spectrum of interest (together with their complex conjugation and including the self-power spectral density of each sensor on the diagonal).…”

Section: The Proposed Near-field Interference Suppression Algorithmmentioning

confidence: 99%

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Enhanced Near-Field Interference Suppression Scheme for the Non-Cooperative Underwater Acoustic Pulse Detection of the Towed Linear Array

Wei

Fang

Tao

2022

JMSE

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Near-field interference suppression for a towed linear array (TLA) is investigated in this paper. The existing eigencomponent association (ECA) scheme and multiple signal classification interference suppression (MUSIC-IS) scheme require the prior information of a target bearing in order to achieve satisfactory performance. To improve this, we propose the use of an enhanced ECA (EECA) scheme that achieves interference suppression in a non-cooperative scenario. It identifies non-target eigenvectors by scanning the tail direction zone of the TLA. With the non-target-only eigenvectors subtracted, the beam power spectrum of the EECA manifests null troughs at the target bearings. Numerical simulations show the superiority of the EECA method. This method can effectively suppress strong interference without prior information, capture a target even at a low signal-to-interference (SIR) level of −25 dB, and obtain dozens of dB processing gains compared to the ECA and MUSIC-IS.

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Section: The Proposed Near-field Interference Suppression Algorithmmentioning

confidence: 99%

“…The CSDM is widely adopted in source detection, location, classification, etc. [5][6][7]. As a classical subspace-based method, multiple signal classification (MUSIC) is widely used for interference suppression, but it is limited by the problem of accurate subspace division [8].…”

Section: Introductionmentioning

confidence: 99%

Enhanced Near-Field Interference Suppression Scheme for the Non-Cooperative Underwater Acoustic Pulse Detection of the Towed Linear Array

Wei

Fang

Tao

2022

JMSE

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“…In the process of disposing of offshore sunken and submerged oil incidents [1][2][3][4], containment technology [5], monitoring technology [6,7], detection technology [8][9][10], recovery technology [11,12], bioremediation technology [13] and so on may be involved. Whether the selection of the above technologies is suitable or not requires comprehensive consideration of oil product properties, distribution amount, impact on sensitive areas, hydrometeorological factors and other related factors.…”

Section: Introductionmentioning

confidence: 99%

Fuzzy Comprehensive Evaluation of the Suitability of Offshore Sunken and Submerged Oil Containment Technology in a Specific Scenario

Zhao

Zhang

et al. 2022

J. Phys.: Conf. Ser.

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In this paper, multiple evaluation means including the fuzzy evaluation method, the analytic hierarchy process and the expert evaluation method are used to evaluate the suitability of sunken and submerged oil containment technology in a specific scenario. The results show that the containment technology has a good effect of disposal of submerged oil and floating oil, especially when they may affect sensitive areas.

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“…With the rapid development of marine exploitation, the demand for transmitting data and information has increased significantly [1][2][3]. As an important carrier for various marine missions, small underwater platforms, such as an autonomous underwater vehicle (AUV), generally with a length smaller than 1.5 m, draw more and more attention from not only the traditional field of environmental monitoring, marine scientific research, and military purpose [4,5] but also the rising personal applications such as underwater sightseeing, self-timers, or entertainment.…”

Section: Introductionmentioning

confidence: 99%

“…As the adoption of the electromagnetic wave is seriously limited by high attenuation in water medium, the technology of acoustic communication provides an attractive way for Micro-AUVs in underwater control, telemetry, and data transmission [8]. However, adverse difficulties encountered in a UWA channel, such as multipath, noise, and Doppler, pose a significant challenge to the UWA communication system [1][2][3][4][5]. Moreover, the strictly limited size, power supply, as well as the computational capability provided by a small AUV renders the design of a UWA communication system for a small AUV exceptionally difficult [6][7][8].…”

Section: Introductionmentioning

confidence: 99%

A Low-Complexity Underwater Acoustic Coherent Communication System for Small AUV

et al. 2022

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While underwater acoustic (UWA) communication offers a practical way to establish a wireless link with underwater vehicles, designing a UWA communication system onboard a small autonomous underwater vehicle (AUV) still poses significant challenges. As the adoption of the low-complexity, robust noncoherent communication technology is limited by low bandwidth efficiency and a low data rate, coherent UWA communication requires Doppler mitigation and channel equalization measures to achieve a relatively high data rate in a moving state. Due to the strict constraints of a small-scale AUV in terms of resources and energy consumption, it is not appropriate to use high-complexity Doppler/multipath compensation technology from the prospect of system implementation. In this paper, an efficient and low-complexity UWA differential binary phase-shift keying (DBPSK) system onboard a small AUV is proposed by simplifying the Doppler and multipath compensation. Specifically, for Doppler, the delay of the adjacent DBPSK symbols is calculated according to the Doppler estimate to facilitate delay-tuning Doppler correction. For multipath, low-complexity LMS channel equalization is incorporated with error correction coding to enable multipath mitigation. With a simple structure and low computational complexity, the proposed scheme facilitates the practical hardware implementation and system integration in the small AUV platform. The numerical simulations are conducted to assess the validity of the proposed scheme under different channel conditions and the effectiveness of the proposed scheme is further verified by two UWA communication field tests, which are performed at a practical shallow water sea and lake, respectively.

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Cross power spectral density based beamforming for underwater acoustic communications

Cited by 12 publications

References 47 publications

Enhanced Near-Field Interference Suppression Scheme for the Non-Cooperative Underwater Acoustic Pulse Detection of the Towed Linear Array

Enhanced Near-Field Interference Suppression Scheme for the Non-Cooperative Underwater Acoustic Pulse Detection of the Towed Linear Array

Fuzzy Comprehensive Evaluation of the Suitability of Offshore Sunken and Submerged Oil Containment Technology in a Specific Scenario

A Low-Complexity Underwater Acoustic Coherent Communication System for Small AUV

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