1无损检测与光电传感技术及应用国家地方联合工程实验室 无损检测技术教育部重点实验室南昌330063; 2南昌航空大学测试与光电工程学院 江西省光电检测技术工程实验室南昌330063; 3南昌航空大学信息工程学院 南昌330063; 4华中科技大学光学与电子信息学院武汉430074;
TH744
国家自然科学基金(11964019，11264031)、江西省青年科学基金重大项目(20143ACB21011)、航空科学基金(2017ZC56003，20162856004)、无损检测技术教育部重点实验室基金(EW201980090，ZD201629004)、江西省自然科学基金(20192BAB202006, 20192BAB207001，20151BAB207054), 江西省教育厅科技项目(GJJ170594)、江西省图像处理与模式识别重点实验室开放基金(ET201908119)、南昌航空大学研究生创新专项基金（YC2017051）项目资助
- He Le
He Le
1.National Engineering Laboratory for NonDestructive Testing and Optoelectronic Sensing Technology and Applications, Nanchang 330063, China； 2.Jiangxi Engineering Laboratory for Optoelectronics Testing Technology, School of Measuring and Optical Engineering, Nanchang Hangkong University, Nanchang 330063, China； 4.School of Optical and Electronic Information, Huazhong University of Science and Technology, Wuhan 430074, China
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在本站中查找 - Feng Xin
Feng Xin
1.National Engineering Laboratory for NonDestructive Testing and Optoelectronic Sensing Technology and Applications, Nanchang 330063, China； 2.Jiangxi Engineering Laboratory for Optoelectronics Testing Technology, School of Measuring and Optical Engineering, Nanchang Hangkong University, Nanchang 330063, China
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在本站中查找 - Wu Huaming
Wu Huaming
1.National Engineering Laboratory for NonDestructive Testing and Optoelectronic Sensing Technology and Applications, Nanchang 330063, China； 2.Jiangxi Engineering Laboratory for Optoelectronics Testing Technology, School of Measuring and Optical Engineering, Nanchang Hangkong University, Nanchang 330063, China
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在本站中查找 - Huang Lizhen 3
- Xiao Yongsheng
1.National Engineering Laboratory for NonDestructive Testing and Optoelectronic Sensing Technology and Applications, Nanchang 330063, China; 2.Jiangxi Engineering Laboratory for Optoelectronics Testing Technology, School of Measuring and Optical Engineering, Nanchang Hangkong University, Nanchang 330063, China; 3.School of Information Engineering, Nanchang Hangkong University, Nanchang 330063, China; 4.School of Optical and Electronic Information, Huazhong University of Science and Technology, Wuhan 430074, China
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光纤声传感器可广泛应用于能源和安防等重要领域，但其噪声复杂进而影响测量精度和稳定性，针对此问题，基于直线型光纤Sagnac干涉仪声传感系统，提出了一种改进小波阈值去噪方法，在此基础上，结合信号特征还设计了一种综合滤波方案，以提高系统语音探测质量。以实测语音信号为例，所提算法能将信号Allan方差值减小到824×10-14，而类间距判据值增大为691，有效改善了语音信号的质量。所提方法可广泛应用于声音传感领域，且对于光纤干涉仪声传感系统后期声源定位的准确性也具有重要意义。
Fiber optic acoustic sensors can be widely used in energy source, security defense and other important fields, however their noise is complex, which affects the measurement accuracy and stability. Aiming at this problem, in this paper, an acoustic sensor system based on linear fiber optic Sagnac interferometer is demonstrated, and an improved wavelet threshold denoising algorithm is proposed. Furthermore, on this bases, combining with the signal characteristics, a synthesis filtering scheme is designed to improve the speech detection quality of the system. Taking the actually measured speech signal as an example, with this algorithm the Allan variance of the signal is reduced to 824×10-14, while the class spacing criterion is increased to 691, which effectively improve the quality of detected speech signal. The proposed algorithm can be widely used in acoustic sensing field, and has great significance for the accuracy of the later stage acoustic source localization for the optical fiber interferometer acoustic sensing system as well.
引用本文
何乐,丰鑫,吴华明,黄丽贞,肖永生.直线型Sagnac光纤干涉仪声传感器及其去噪方法研究[J].仪器仪表学报,2019,40(9):70-77
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- 在线发布日期: 2020-08-20
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