Citation

Jabidin, Hafiz Zulhazmi and Ibrahim@Ghazali, Siti Azlida and Kalilur Raheem, Muhammad Muhsin and Mansoor, Amilia and Zan, Mohd Saiful Dzulkefly and A․ Bakar, Ahmad Ashrif and Abdul Rashid, Hairul Azhar (2025) Analysis of combined moving-average moving-differential algorithms to enhance SNR in distributed optical fiber acoustic sensors. Results in Engineering, 26. p. 105268. ISSN 25901230

Text Analysis of combined moving-average moving-differential algorithms to enhance SNR in distributed optical fiber acoustic sensors.pdf - Published Version Restricted to Repository staff only Download (6MB)

Abstract

Moving-average and moving-differential (MA-MD) techniques are widely used to process signals from distributed optical fiber acoustic sensors (DAS). However, the optimal combination of window and interval sizes to achieve the best signal-to-noise ratio (SNR), especially for signals with mixed frequency components, has yet to be studied. The study investigates the ideal combination of window and interval sizes to enhance SNR in direct and coherent detection-based DAS systems. The optimisation is further extended to multiple pulse widths. The results show that the coherent detection DAS achieves a higher optimal SNR than the direct detection DAS and system with shorter pulse width achieved higher optimal SNR. When optimised, the MA-MD enhanced the SNR by up to 1.68 dB compared to the conventional and normalised differential methods. To the best of our knowledge, this is the first study that demonstrate the applicability of the MA-MD algorithm in real-world DAS applications with mixed-frequency acoustic signals and provide valuable insights to improve DAS performance

Item Type:	Article
Uncontrolled Keywords:	Optical fiber, distributed acoustic sensor (DAS)
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK7800-8360 Electronics > TK8300-8360 Photoelectronic devices (General)
Divisions:	Faculty of Engineering (FOE)
Depositing User:	Ms Rosnani Abd Wahab
Date Deposited:	27 May 2025 09:18
Last Modified:	27 May 2025 09:18
URII:	http://shdl.mmu.edu.my/id/eprint/13834

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