Remote disturbance feature extraction method and system of distributed optical fiber sensing system

A distributed optical fiber, disturbance feature technology, applied in character and pattern recognition, instruments, calculations, etc., can solve problems such as unresolved, inability to extract disturbance features, and achieve the effect of improving accuracy

Pending Publication Date: 2022-08-05
CHANGSHU INSTITUTE OF TECHNOLOGY +1
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Problems solved by technology

This method does not solve the technical problem that the far-end interference signal is submerged by the near-end echo signal

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  • Remote disturbance feature extraction method and system of distributed optical fiber sensing system
  • Remote disturbance feature extraction method and system of distributed optical fiber sensing system
  • Remote disturbance feature extraction method and system of distributed optical fiber sensing system

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Embodiment 1

[0091] like figure 1 As shown, a remote disturbance feature extraction method for a distributed optical fiber sensing system includes the following steps:

[0092] S01: Divide the distance dimension interval of the signal Rayleigh scattering spectrum in the fiber channel, establish a corresponding dictionary learning model for each interval, and learn and observe the original dictionary to form a polymorphic equivalent dictionary;

[0093] S02: Based on the polymorphic equivalent dictionary, a joint sparse representation model under the cascade of polymorphic equivalent dictionaries is established to form a joint sparse representation of the multi-echo scattering spectrum;

[0094] S03: Construct a joint optimization and reconstruction algorithm based on a polymorphic cascade dictionary to extract features of remote disturbance signals.

[0095] It should be noted that: for an optical cable that has been routed, its Rayleigh scattering spectrum under the condition of no distu...

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Abstract

The invention belongs to the technical field of signal processing of a distributed optical fiber sensing system, and discloses a far-end disturbance feature extraction method of the distributed optical fiber sensing system, which comprises the following steps of: dividing distance dimension intervals of a signal Rayleigh scattering spectrum in an optical fiber channel, and establishing a corresponding dictionary learning model for each interval, learning and observing the original dictionary to form a polymorphic equivalent dictionary; based on the polymorphic equivalent dictionary, establishing a joint sparse representation model under the cascade of the polymorphic equivalent dictionary, and forming joint sparse representation of the multi-echo scattering spectrum; and constructing a joint optimization reconstruction algorithm based on the polymorphic cascade dictionary, and extracting far-end disturbance signal features. The problem that far-end interference signals in a distributed optical fiber sensing system are submerged due to inherent attenuation of the Rayleigh scattering spectrum can be solved. And the accuracy of disturbance signal feature extraction is greatly improved.

Description

technical field [0001] The invention belongs to the technical field of signal processing of a distributed optical fiber sensing system, and relates to a method and system for extracting remote disturbance features of a distributed optical fiber sensing system. Background technique [0002] Optical fiber sensors have been widely used in the fields of security, monitoring and surveying due to their advantages of being immune to electromagnetic interference, high flexibility and easy networking. The distributed optical fiber sensing system uses the points on the optical fiber as independent sensing units, and uses the phase sensitive (OTDR) technology. There is a significant improvement. But in the same way, the high sensitivity and fast response speed of the distributed optical fiber sensing system will make the system sensitive to noise and environmental disturbance. At the same time, in the long-distance transmission detection scenario, due to the fading characteristics of...

Claims

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Application Information

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IPC IPC(8): G06K9/00
CPCG06F2218/08
Inventor 刘玉申许人东陶宇胥国祥石明强滕诣迪
Owner CHANGSHU INSTITUTE OF TECHNOLOGY
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