Research on Multi-Source Simultaneous Recognition Technology Based on Sagnac Fiber Optic Sound Sensing System
To solve the problem of multiple sound recognition in the application of Sagnac optical fiber acoustic sensing system, a multi-source synchronous recognition algorithm was proposed, which combined the VMD (variational modal decomposition) algorithm and MFCC (Mel-frequency cepstral coefficient algori...
| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2023-09-01
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| Series: | Photonics |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2304-6732/10/9/1003 |
| _version_ | 1797577924551901184 |
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| author | Xinyu Zheng Ruixi Tang Jiang Wang Cheng Lin Jianjun Chen Ning Wang Yong Zhu Juan Ruan |
| author_facet | Xinyu Zheng Ruixi Tang Jiang Wang Cheng Lin Jianjun Chen Ning Wang Yong Zhu Juan Ruan |
| author_sort | Xinyu Zheng |
| collection | DOAJ |
| description | To solve the problem of multiple sound recognition in the application of Sagnac optical fiber acoustic sensing system, a multi-source synchronous recognition algorithm was proposed, which combined the VMD (variational modal decomposition) algorithm and MFCC (Mel-frequency cepstral coefficient algorithm) algorithm to pre-process the photoacoustic sensing signal, and uses BP neural network to recognize the photoacoustic sensing signal. The modal analysis and feature extraction theory of photoacoustic sensing signal based on the VMD and MFCC algorithms were presented. The signal recognition theory analysis and system recognition program design were completed based on the BP neural network. Signal acquisition of different sounds and verification experiments of the recognition system have been carried out in a laboratory environment based on the Sagnac fiber optic sound sensing system. The experimental results show that the proposed optical fiber acoustic sensing signal recognition algorithm has a simultaneous recognition rate better than 96.5% for six types of sounds, and the optical acoustic signal recognition takes less than 5.3 s, which has the capability of real-time sound detection and recognition, and provides the possibility of further application of the Sagnac-based optical fiber acoustic sensing system. |
| first_indexed | 2024-03-10T22:14:54Z |
| format | Article |
| id | doaj.art-fce10c92a6e54dcfb36c301e7f19141e |
| institution | Directory Open Access Journal |
| issn | 2304-6732 |
| language | English |
| last_indexed | 2024-03-10T22:14:54Z |
| publishDate | 2023-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Photonics |
| spelling | doaj.art-fce10c92a6e54dcfb36c301e7f19141e2023-11-19T12:29:41ZengMDPI AGPhotonics2304-67322023-09-01109100310.3390/photonics10091003Research on Multi-Source Simultaneous Recognition Technology Based on Sagnac Fiber Optic Sound Sensing SystemXinyu Zheng0Ruixi Tang1Jiang Wang2Cheng Lin3Jianjun Chen4Ning Wang5Yong Zhu6Juan Ruan7The Key Laboratory of Electromagnetic Technology and Engineering, China West Normal University, Nanchong 637000, ChinaThe Key Laboratory of Electromagnetic Technology and Engineering, China West Normal University, Nanchong 637000, ChinaThe Institute of Xi’an Aerospace Solid Propulsion Technology, Xi’an 710025, ChinaCollege of Physics and Electronic Information Engineering, Neijiang Normal University, Neijiang 641100, ChinaThe Key Laboratory of Electromagnetic Technology and Engineering, China West Normal University, Nanchong 637000, ChinaThe Key Laboratory of Optoelectronic Technology & System, Education Ministry of China, Chongqing University, Chongqing 400044, ChinaThe Key Laboratory of Optoelectronic Technology & System, Education Ministry of China, Chongqing University, Chongqing 400044, ChinaThe Key Laboratory of Electromagnetic Technology and Engineering, China West Normal University, Nanchong 637000, ChinaTo solve the problem of multiple sound recognition in the application of Sagnac optical fiber acoustic sensing system, a multi-source synchronous recognition algorithm was proposed, which combined the VMD (variational modal decomposition) algorithm and MFCC (Mel-frequency cepstral coefficient algorithm) algorithm to pre-process the photoacoustic sensing signal, and uses BP neural network to recognize the photoacoustic sensing signal. The modal analysis and feature extraction theory of photoacoustic sensing signal based on the VMD and MFCC algorithms were presented. The signal recognition theory analysis and system recognition program design were completed based on the BP neural network. Signal acquisition of different sounds and verification experiments of the recognition system have been carried out in a laboratory environment based on the Sagnac fiber optic sound sensing system. The experimental results show that the proposed optical fiber acoustic sensing signal recognition algorithm has a simultaneous recognition rate better than 96.5% for six types of sounds, and the optical acoustic signal recognition takes less than 5.3 s, which has the capability of real-time sound detection and recognition, and provides the possibility of further application of the Sagnac-based optical fiber acoustic sensing system.https://www.mdpi.com/2304-6732/10/9/1003Sagnac interferencephotoacoustic sensingmulti-source identificationBP neural network |
| spellingShingle | Xinyu Zheng Ruixi Tang Jiang Wang Cheng Lin Jianjun Chen Ning Wang Yong Zhu Juan Ruan Research on Multi-Source Simultaneous Recognition Technology Based on Sagnac Fiber Optic Sound Sensing System Photonics Sagnac interference photoacoustic sensing multi-source identification BP neural network |
| title | Research on Multi-Source Simultaneous Recognition Technology Based on Sagnac Fiber Optic Sound Sensing System |
| title_full | Research on Multi-Source Simultaneous Recognition Technology Based on Sagnac Fiber Optic Sound Sensing System |
| title_fullStr | Research on Multi-Source Simultaneous Recognition Technology Based on Sagnac Fiber Optic Sound Sensing System |
| title_full_unstemmed | Research on Multi-Source Simultaneous Recognition Technology Based on Sagnac Fiber Optic Sound Sensing System |
| title_short | Research on Multi-Source Simultaneous Recognition Technology Based on Sagnac Fiber Optic Sound Sensing System |
| title_sort | research on multi source simultaneous recognition technology based on sagnac fiber optic sound sensing system |
| topic | Sagnac interference photoacoustic sensing multi-source identification BP neural network |
| url | https://www.mdpi.com/2304-6732/10/9/1003 |
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