Please use this identifier to cite or link to this item: http://localhost/handle/Hannan/586910
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dc.contributor.authorXiangdong Huangen_US
dc.contributor.authorYuedong Wangen_US
dc.contributor.authorKun Liuen_US
dc.contributor.authorTiegen Liuen_US
dc.contributor.authorChunyu Maen_US
dc.contributor.authorQinnan Chenen_US
dc.date.accessioned2020-05-20T08:36:40Z-
dc.date.available2020-05-20T08:36:40Z-
dc.date.issued2016en_US
dc.identifier.issn1943-0655en_US
dc.identifier.other10.1109/JPHOT.2016.2552479en_US
dc.identifier.urihttp://localhost/handle/Hannan/172121en_US
dc.identifier.urihttp://localhost/handle/Hannan/586910-
dc.descriptionen_US
dc.description.abstractTo meet the growing demand of event discrimination in a dual Mach-Zehnder Interferometry (DMZI) vibration sensing system, this paper proposes a novel scheme of distinguishing invasion events. This scheme consists of three stages: endpoint detection, filter-bank-based feature extraction, and radial-basis-function neural network classification. As the hard core, the proposed filter bank, which is derived from the classical frequency-sampling-based filter design method, greatly suppresses the interchannel interference and, thus, provides accurate feature description for the radial basis function (RBF)-based classifier. Moreover, we also derive the closed-form formula of the filter coefficients and, thus, design a pipeline structure for the filter bank, which brings the advantages of high accuracy, high flexibility, great rapidity, and low cost. Simulation verifies the proposed filter bank's superiority in separating different frequency bands. Field experiments also show that the proposed event discrimination scheme cannot only eliminate some false alarms caused by noninvasion events but can discriminate two common invasion events (climbing the fence and knocking the cable) with high recognition accuracy as well.en_US
dc.publisherIEEEen_US
dc.relation.haspart7450616.pdfen_US
dc.subjectinter-channel interference|filter bank|feature extraction|Event discriminationen_US
dc.titleEvent Discrimination of Fiber Disturbance Based on Filter Bank in DMZI Sensing Systemen_US
dc.typeArticleen_US
dc.journal.volume8en_US
dc.journal.issue3en_US
dc.journal.titleIEEE Photonics Journalen_US
Appears in Collections:2016

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Full metadata record
DC FieldValueLanguage
dc.contributor.authorXiangdong Huangen_US
dc.contributor.authorYuedong Wangen_US
dc.contributor.authorKun Liuen_US
dc.contributor.authorTiegen Liuen_US
dc.contributor.authorChunyu Maen_US
dc.contributor.authorQinnan Chenen_US
dc.date.accessioned2020-05-20T08:36:40Z-
dc.date.available2020-05-20T08:36:40Z-
dc.date.issued2016en_US
dc.identifier.issn1943-0655en_US
dc.identifier.other10.1109/JPHOT.2016.2552479en_US
dc.identifier.urihttp://localhost/handle/Hannan/172121en_US
dc.identifier.urihttp://localhost/handle/Hannan/586910-
dc.descriptionen_US
dc.description.abstractTo meet the growing demand of event discrimination in a dual Mach-Zehnder Interferometry (DMZI) vibration sensing system, this paper proposes a novel scheme of distinguishing invasion events. This scheme consists of three stages: endpoint detection, filter-bank-based feature extraction, and radial-basis-function neural network classification. As the hard core, the proposed filter bank, which is derived from the classical frequency-sampling-based filter design method, greatly suppresses the interchannel interference and, thus, provides accurate feature description for the radial basis function (RBF)-based classifier. Moreover, we also derive the closed-form formula of the filter coefficients and, thus, design a pipeline structure for the filter bank, which brings the advantages of high accuracy, high flexibility, great rapidity, and low cost. Simulation verifies the proposed filter bank's superiority in separating different frequency bands. Field experiments also show that the proposed event discrimination scheme cannot only eliminate some false alarms caused by noninvasion events but can discriminate two common invasion events (climbing the fence and knocking the cable) with high recognition accuracy as well.en_US
dc.publisherIEEEen_US
dc.relation.haspart7450616.pdfen_US
dc.subjectinter-channel interference|filter bank|feature extraction|Event discriminationen_US
dc.titleEvent Discrimination of Fiber Disturbance Based on Filter Bank in DMZI Sensing Systemen_US
dc.typeArticleen_US
dc.journal.volume8en_US
dc.journal.issue3en_US
dc.journal.titleIEEE Photonics Journalen_US
Appears in Collections:2016

Files in This Item:
File Description SizeFormat 
7450616.pdf1.69 MBAdobe PDFThumbnail
Preview File
Full metadata record
DC FieldValueLanguage
dc.contributor.authorXiangdong Huangen_US
dc.contributor.authorYuedong Wangen_US
dc.contributor.authorKun Liuen_US
dc.contributor.authorTiegen Liuen_US
dc.contributor.authorChunyu Maen_US
dc.contributor.authorQinnan Chenen_US
dc.date.accessioned2020-05-20T08:36:40Z-
dc.date.available2020-05-20T08:36:40Z-
dc.date.issued2016en_US
dc.identifier.issn1943-0655en_US
dc.identifier.other10.1109/JPHOT.2016.2552479en_US
dc.identifier.urihttp://localhost/handle/Hannan/172121en_US
dc.identifier.urihttp://localhost/handle/Hannan/586910-
dc.descriptionen_US
dc.description.abstractTo meet the growing demand of event discrimination in a dual Mach-Zehnder Interferometry (DMZI) vibration sensing system, this paper proposes a novel scheme of distinguishing invasion events. This scheme consists of three stages: endpoint detection, filter-bank-based feature extraction, and radial-basis-function neural network classification. As the hard core, the proposed filter bank, which is derived from the classical frequency-sampling-based filter design method, greatly suppresses the interchannel interference and, thus, provides accurate feature description for the radial basis function (RBF)-based classifier. Moreover, we also derive the closed-form formula of the filter coefficients and, thus, design a pipeline structure for the filter bank, which brings the advantages of high accuracy, high flexibility, great rapidity, and low cost. Simulation verifies the proposed filter bank's superiority in separating different frequency bands. Field experiments also show that the proposed event discrimination scheme cannot only eliminate some false alarms caused by noninvasion events but can discriminate two common invasion events (climbing the fence and knocking the cable) with high recognition accuracy as well.en_US
dc.publisherIEEEen_US
dc.relation.haspart7450616.pdfen_US
dc.subjectinter-channel interference|filter bank|feature extraction|Event discriminationen_US
dc.titleEvent Discrimination of Fiber Disturbance Based on Filter Bank in DMZI Sensing Systemen_US
dc.typeArticleen_US
dc.journal.volume8en_US
dc.journal.issue3en_US
dc.journal.titleIEEE Photonics Journalen_US
Appears in Collections:2016

Files in This Item:
File Description SizeFormat 
7450616.pdf1.69 MBAdobe PDFThumbnail
Preview File