Group alternating integration for distributed acoustic sensing with improved signal-to-noise ratio

• Autorzy: Angelsky Oleg , Strynadko Myroslav , Zenkova Claudia , Zheng Jun

Identyfikatory

DOI

10.24425/opelre.2025.155878

• Języki publikacji: EN

Abstrakty

EN

Distributed acoustic sensing (DAS) based on Rayleigh backscattering is actively used for perimeter monitoring of critical infrastructure. However, traditional signal processing methods often face challenges in detecting weak or short-term events in noisy conditions. In this paper, we propose an improved signal accumulation method based on group averaging with alternating sign integration. The proposed method provides the efficient noise suppression and improves the detection of local mechanical disturbances along the fibre. Comparative simulation study between the classical and the proposed approach demonstrates a significant improvement in signal visibility in the presence of additive noise. Potential implementations of multi-layered and mesh-integrated DAS configurations are also discussed to further enhance signal-to-noise ratio (SNR). The obtained results can serve as a basis for the development of modern security systems for critical facilities.

Słowa kluczowe

EN

distributed acoustic sensing; DAS; Rayleigh backscattering; perimeter security; signal processing; fibre-optic sensors; noise reduction

• Wydawca: Stowarzyszenie Elektryków Polskich ; Polska Akademia Nauk ; Wojskowa Akademia Techniczna im. Jarosława Dąbrowskiego
• Czasopismo: Opto-Electronics Review
• Rocznik: 2025
• Tom: Vol. 33, No. 4
• Strony: art. no. e155878
• Opis fizyczny: Bibliogr. 17 poz., rys., wykr., tab.

Twórcy

autor

Angelsky Oleg

• Taizhou Research Institute of Zhejiang University, Taizhou, China
• Chernivtsi National University, Chernivtsi, Ukraine

• https://orcid.org/0000-0002-5463-8961

autor

Strynadko Myroslav

• Chernivtsi National University, Chernivtsi, Ukraine

• https://orcid.org/0009-0004-9549-2198

autor

Zenkova Claudia

• Taizhou Research Institute of Zhejiang University, Taizhou, China
• Chernivtsi National University, Chernivtsi, Ukraine

• https://orcid.org/0000-0002-9108-8591

autor

Zheng Jun

• Taizhou Research Institute of Zhejiang University, Taizhou, China

• https://orcid.org/0000-0001-5943-3095

Bibliografia

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