最小控制递归平均算法对光纤声音传感系统的降噪作用

doi:10.3969/j.issn.1000-1158.2019.05.23

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Abstract In order to solve the problem of sound reduction in distributed optical sound sensing system in harsh environment, a multi-channel optical fiber acoustic sensing system based on improved minimum control recursive average (IMCRA) algorithm was established. The composite optical path structure of Sagnac and Mach-Zehnder was built, and the single-mode optical fiber was used as the sensing unit to pick up the sound signal. The multi-channel signal acquisition was realized by the optical switch, and the sound signal was denoised, restored and enhanced by the IMCRA algorithm. The experimental results show that the system can realize multi-channel scanning and picking of single-tone signals and voice signals on the sensing fiber with a length of 4km, and can effectively improve the signal-to-noise ratio of the voice signal under complicated conditions. A new way for the application of optical fiber acoustic sensing systems is provided in harsh environments.

Key words： metrology optical fiber acoustic sensor system sound detection multi-channel acquisition improved minimum control recursive average algorithm

Received: 12 July 2018 Published: 01 September 2019

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TB95

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	Articles by authors
	GUO Mao-sen
	WANG Yu
	ZHANG Jian-guo
	LIU Xin
	BAI Qing
	WANG Dong
	JIN Bao-quan

Cite this article:

GUO Mao-sen,WANG Yu,ZHANG Jian-guo, et al. Noise Reduction Effect Of Minimum Control Recursive Average Algorithm On Optical Fiber Acoustic Sensor System[J]. Acta Metrologica Sinica, 2019, 40(5): 880-886.

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http://jlxb.china-csm.org:81/Jwk_jlxb/EN/10.3969/j.issn.1000-1158.2019.05.23 OR http://jlxb.china-csm.org:81/Jwk_jlxb/EN/Y2019/V40/I5/880

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