Please use this identifier to cite or link to this item: http://localhost/handle/Hannan/625192
Title: A Continuous Wavelet Transform Based Time Delay Estimation Method for Long Range Fiber Interferometric Vibration Sensor
Authors: Chunyu Ma;Tiegen Liu;Kun Liu;Junfeng Jiang;Zhenyang Ding;Xiangdong Huang;Liang Pan;Miao Tian;Zhichen Li
subject: long range vibration sensing|Asymmetric dual Mach–Zehnder interferometer (ADMZI)|time delay estimation method|continuous wavelet transform|time-frequency analysis method
Year: 2016
Publisher: IEEE
Abstract: We propose a time delay estimation (TDE) method based on a continuous wavelet transform (CWT), which can be applied to the different-wavelength-based fiber interferometric vibration sensors. Using a CWT-based characteristic extraction algorithm, we successfully eliminate the asymmetry of the interference outputs that would seriously deteriorate the positioning accuracy of the sensor. A positioning measurement experiment using an asymmetric dual Mach-Zehnder interferometric sensor was carried out to verify the effectiveness of the proposed method. The experiment achieved a positioning accuracy of 0.029% at the sensing length of 85 km, with a mean processing time of 591.2 ms.
URI: http://localhost/handle/Hannan/161275
http://localhost/handle/Hannan/625192
ISSN: 0733-8724
1558-2213
volume: 34
issue: 16
Appears in Collections:2016

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Title: A Continuous Wavelet Transform Based Time Delay Estimation Method for Long Range Fiber Interferometric Vibration Sensor
Authors: Chunyu Ma;Tiegen Liu;Kun Liu;Junfeng Jiang;Zhenyang Ding;Xiangdong Huang;Liang Pan;Miao Tian;Zhichen Li
subject: long range vibration sensing|Asymmetric dual Mach–Zehnder interferometer (ADMZI)|time delay estimation method|continuous wavelet transform|time-frequency analysis method
Year: 2016
Publisher: IEEE
Abstract: We propose a time delay estimation (TDE) method based on a continuous wavelet transform (CWT), which can be applied to the different-wavelength-based fiber interferometric vibration sensors. Using a CWT-based characteristic extraction algorithm, we successfully eliminate the asymmetry of the interference outputs that would seriously deteriorate the positioning accuracy of the sensor. A positioning measurement experiment using an asymmetric dual Mach-Zehnder interferometric sensor was carried out to verify the effectiveness of the proposed method. The experiment achieved a positioning accuracy of 0.029% at the sensing length of 85 km, with a mean processing time of 591.2 ms.
URI: http://localhost/handle/Hannan/161275
http://localhost/handle/Hannan/625192
ISSN: 0733-8724
1558-2213
volume: 34
issue: 16
Appears in Collections:2016

Files in This Item:
File Description SizeFormat 
7497590.pdf472.49 kBAdobe PDFThumbnail
Preview File
Title: A Continuous Wavelet Transform Based Time Delay Estimation Method for Long Range Fiber Interferometric Vibration Sensor
Authors: Chunyu Ma;Tiegen Liu;Kun Liu;Junfeng Jiang;Zhenyang Ding;Xiangdong Huang;Liang Pan;Miao Tian;Zhichen Li
subject: long range vibration sensing|Asymmetric dual Mach–Zehnder interferometer (ADMZI)|time delay estimation method|continuous wavelet transform|time-frequency analysis method
Year: 2016
Publisher: IEEE
Abstract: We propose a time delay estimation (TDE) method based on a continuous wavelet transform (CWT), which can be applied to the different-wavelength-based fiber interferometric vibration sensors. Using a CWT-based characteristic extraction algorithm, we successfully eliminate the asymmetry of the interference outputs that would seriously deteriorate the positioning accuracy of the sensor. A positioning measurement experiment using an asymmetric dual Mach-Zehnder interferometric sensor was carried out to verify the effectiveness of the proposed method. The experiment achieved a positioning accuracy of 0.029% at the sensing length of 85 km, with a mean processing time of 591.2 ms.
URI: http://localhost/handle/Hannan/161275
http://localhost/handle/Hannan/625192
ISSN: 0733-8724
1558-2213
volume: 34
issue: 16
Appears in Collections:2016

Files in This Item:
File Description SizeFormat 
7497590.pdf472.49 kBAdobe PDFThumbnail
Preview File