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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摘要为了解决恶劣环境下分布式光纤声音传感系统的声音还原问题,搭建了一种基于改进最小控制递归平均(IMCRA)算法的多通道光纤声音传感系统。采用Sagnac和Mach-Zehnder复合光路结构,以单模光纤作为传感单元拾取声音信号,借助光开关实现了多通道信号采集,并通过改进最小控制递归平均算法对声音信号进行降噪、还原及增强处理。实验结果表明:该系统可在长为4km的传感光纤上实现对单音信号和语音信号的多通道扫描拾取,并能够在复杂情况下实现对语音信号信噪比的有效提升,为光纤声音传感系统在恶劣环境下的应用提供了一种新途径。

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	郭茂森
	王宇
	张建国
	刘昕
	白清
	王东
	靳宝全

关键词 ：计量学, 光纤声音传感系统, 声音检测, 多通道采集, 改进最小控制递归平均算法

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

收稿日期: 2018-07-12 发布日期: 2019-09-01

PACS:

TB95

基金资助:山西省应用基础研究项目(201701D221115);山西省重点研发计划社会发展项目(201703D321037);山西省煤层气联合研究基金资助项目(2016012011);山西省回国留学人员科研资助项目(2016-035)

通讯作者: 王宇(1986-),男,山西忻州人,太原理工大学副教授,主要从事光纤传感技术研究。 Email:wangyu@tyut.edu.cn E-mail: jinbaoquan@tyut.edu.cn

作者简介: 郭茂森(1994-),男,河北迁安人,太原理工大学硕士研究生,主要研究方向为光纤传感技术。 Email:maosenguo@163.com

引用本文:

郭茂森,王宇,张建国,刘昕,白清,王东,靳宝全. 最小控制递归平均算法对光纤声音传感系统的降噪作用[J]. 计量学报, 2019, 40(5): 880-886.
GUO Mao-sen,WANG Yu,ZHANG Jian-guo,LIU Xin,BAI Qing,WANG Dong,JIN Bao-quan. Noise Reduction Effect Of Minimum Control Recursive Average Algorithm On Optical Fiber Acoustic Sensor System. Acta Metrologica Sinica, 2019, 40(5): 880-886.

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［1］马宾, 隋青美, 徐健. 分布式光纤传感系统监测煤矿冻结表土段温度［J］. 计量学报, 2007, 28(z1):174-177.
Ma B, Sui Q M, Xu J. Monitoring the coal mine frozen topsoil segment temperature with distributed temperature system ［J］. Acta Metrologica Sinica, 2007, 28(z1): 174-177.
［2］袁慎芳, Fahard A, 刘小会,等. 基于光纤传感器的行驶车辆动态载荷监测技术［J］. 计量学报, 2005, 26(4): 343-346.
Yuan S F, Fahard A, Liu X H, et al. Dynamic pressure measurement based on optic-fiber sensor［J］. Acta Metrologica Sinica, 2005, 26(4): 343-346.
［3］王贺, 孙琪真, 李晓磊,等. 干涉型分布式光纤振动传感技术的研究进展［J］. 激光与光电子学进展, 2013, 50(2):30-41.
Wang H, Sun Q Z, Li X L, et al. Progress in optical fiber interferometer based distributed vibration sensing technology ［J］. Laser ＆ Optoelectronics Progress, 2013, 50(2): 30-41.
［4］赵新秋, 郑绳楦, 韩佩富. 光纤传感技术应用于轧制力测量的研究［J］. 计量学报, 2004, 25(3): 254-256.
Zhao X Q, Zheng S X, Han P F. Research on application of optical fiber sensor in the measurement of rolling force ［J］. Acta Metrologica Sinica, 2004, 25(3): 254-256.
［5］王宇, 张建国, 王东,等. 基于混沌激光干涉的分布式光纤声音传感［J］. 光学学报, 2018, 38(3):184-191.
Wang Y, Zhang J G, Wang D, et al. Distributed optical fiber acoustic sensing based on chaotic laser interference［J］. Acta Optica Sinica, 2018, 38(3): 184-191.
［6］吴东方, 贾波. 基于M-Z动态干涉仪的全光纤麦克风研究［J］. 传感技术学报, 2007, 20(7):1528-1530.
Wu D F, Jia B. Theoretical and experimental research of all-fiber microphone based on M-Z interferometer［J］. Journal of Transduction Technology, 2007, 20(7): 1528-1530.
［7］Wu Y, Yu C B, Wu F, et al. A highly sensitive fiber-optic microphone based on graphene oxide membrane［J］. Journal of Lightwave Technology, 2017, 35(19): 4344-4349.
［8］Wang B, Pi S, Jia B, et al. Location performance fading for multiple disturbances in distributed Sagnac optical fiber interferometer［J］. Microwave & Optical Technology Letters, 2015, 57(10): 2294-2298.
［9］雷柏伟, 吴兵, 程根银,等. 煤矿井下主要设备噪声源测定分析研究［J］. 中国安全生产科学技术, 2011, 07(1): 72-75.
Lei B W, Wu B, Cheng G Y, et al. Detection and analysis on the noise source of main equipments in the underground coal mine ［J］. Journal of Safety Science and Technology, 2011, 07(1): 72-75.
［10］Mohanan B, Shaija P J, Varghese S. Studies on merged Sagnac-Michelson interferometer for detecting phase sensitive events on fiber optic cables［C］// Automation, Computing, Communication, Control and Compressed Sensing (iMac4s), 2013 International Multi-Conference on Kottayam India. Kottayam, India, 2013:84-89.
［11］朱启荣, 杨国标. 马赫-曾德光纤传感器应变性能实验研究［J］. 计量学报, 2009, 30(3): 222-224.
Zhu Q R, Yang G B. Experimental study on strain performance of Mach-Zehnder fiber optic sensor［J］. Acta Metrologica Sinica, 2009, 30(3): 222-224.
［12］王宇, 吴瑞东, 王东,等. 分布式光纤振动传感系统的多级零频点定位研究［J］. 传感技术学报, 2017, 30(5): 655-659.
Wang Y, WU R D, Wang D, et al. Study on multiple null frequency location of distributed optical fiber vibration sensing system［J］. Journal of Transduction Technology, 2017, 30(5): 655-659.
［13］Cohen I, Berdugo B. Noise estimation by minima cont-rolled recursive averaging for robust speech enhancement［J］. Signal Processing Letters IEEE, 2002, 9(1): 12-15.
［14］Cohen I. Noise spectrum estimation in adverse environ-ments: improved minima controlled recursive averaging［J］. IEEE Transactions on Speech & Audio Processing, 2003, 11(5): 466-475.
［15］Ephraim Y, Malah D. Speech enhancement using a minimum mean-square error log-spectral amplitude estimator［J］. IEEE Transactions on Acoustics Speech & Signal Processing, 1984, 32(6): 1109-1121.
［16］曾毓敏, 王鹏. 基于双向搜索方法的最小值控制递归平均语音增强算法［J］. 声学学报, 2010, 35(1): 81-87.
Zeng Y M, Wang P. Speech enhancement approach based on minima controlled recursive averaging algorithm using bidirectional searching method ［J］. Acta Acustica, 2010, 35(1): 81-87.
［17］杨绪魁, 屈丹, 张文林,等. 基于长时信息的自适应话音激活检测［J］. 电子学报, 2018, 46(4): 878-885.
Yang X K, Qu D, Zhang W L, et al. Adaptive voice activity detection based on long-term information ［J］. Acta Electronica Sinica, 2018, 46(4): 878-885.