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Optical fiber vibration source identification method and system and optical fiber vibration source classification method and system based on i-vector local weighting

A fiber-optic vibration, to-be-identified technology, applied in the fields of security and fiber-optic listening, can solve problems such as poor usability

Inactive Publication Date: 2019-11-15
光子瑞利科技(北京)有限公司
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The threshold value cannot reflect the vibration of light well.
When the optical path and external environment change, adaptive adjustment cannot be performed, so the usability is extremely poor

Method used

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  • Optical fiber vibration source identification method and system and optical fiber vibration source classification method and system based on i-vector local weighting
  • Optical fiber vibration source identification method and system and optical fiber vibration source classification method and system based on i-vector local weighting
  • Optical fiber vibration source identification method and system and optical fiber vibration source classification method and system based on i-vector local weighting

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Embodiment Construction

[0043] In the following description, for purposes of illustration rather than limitation, specific details, such as specific system architectures, interfaces, and techniques, are set forth in order to provide a thorough understanding of the present application. However, it will be apparent to those skilled in the art of fiber optic vibration that the present application may be practiced in other embodiments without these specific details. In other instances, detailed descriptions of well-known devices, circuits, and methods are omitted so as not to obscure the description of the present application with unnecessary detail.

[0044] see figure 1 , figure 1 It is a schematic diagram of the overall flow of the i-vector local weighting algorithm, including

[0045] 1) Initialize all sample weights to 1, and initially solve the projection matrix;

[0046] 2) Analyze the audio frequency of the vibration source to be identified, and find out the samples adjacent to it in the tra...

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Abstract

The invention discloses an optical fiber vibration source identification method and system based on i-vector local weighting. Aiming at the problems of more false alarms and poor availability caused by low recognition rate in an existing optical fiber vibration early warning system, the invention provides a vibration source voiceprint identification method based on i-vector local weighted linear discriminant analysis, and the weight of a neighbor sample of a to-be-identified vibration source is increased when intra-class and inter-class divergence is calculated. On this basis, by improving theresolution capability between the neighborhood local classes of the vibration source to be recognized, recognition errors caused by channel differences are reduced, and therefore good robustness canbe kept in a complex channel environment.

Description

technical field [0001] The invention relates to the fields of optical fiber listening and security protection, in particular to a method and system for identifying and classifying optical fiber vibration sources based on i-vector local weighting. Background technique [0002] As a new type of vibration acquisition sensor, the fiber optic vibration sensor can realize long-distance missed detection. A small disturbance can cause the optical fiber to deform due to vibration, and the transmission track will change accordingly. It has the advantages of anti-electromagnetic and radio frequency interference, high sensitivity, safety and reliability, and strong confidentiality. It is especially suitable for occasions such as strong electromagnetic field, high radio frequency, flammable and explosive, and military security. However, the fiber vibration is too sensitive to the signal and causes a high rate of false alarms. Now, the threshold method is often used to filter false alarms...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62
CPCG06F18/213G06F18/24147G06F18/214
Inventor 刘本刚张洁邓子璇顾宗随柴军杰魏嘉
Owner 光子瑞利科技(北京)有限公司
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