Fuzzy domain characteristics based optical fiber vibration signal identifying method

Abstract

The invention provides a fuzzy domain characteristics based optical fiber vibration signal identifying method and mainly aims to solve the problem that existing identifying methods are low in identifying efficiency under the conditions of low sampling rate and similar intrusion events. The fuzzy domain characteristics based optical fiber vibration signal identifying method includes steps of (1) subjecting optical vibration signals to wavelet denoising; (2) subjecting the denoised signals to de-meaning and energy normalization; (3) calculating the normalized signal fuzzy function and sectioning the fuzzy function to be fuzzy domain characteristics; (4) reducing dimensions of sections to construct a signal characteristic set; (5) partitioning the signal characteristic set into a training set and a test set; (6) training an SVM (support vector machine) classifier by the training set; (7) classifying the test set by the trained SVM classifier. The fuzzy domain characteristics based optical fiber vibration signal identifying method effectively extracts the fuzzy domain characteristics of optical fiber vibration signals, has the advantages of high identification rate and wide applicability as compared with the prior art, and can be used for a signal processing subsystem of an optical fiber perimeter security system.

Description

technical field [0001] The invention belongs to the technical field of signal processing, and further relates to an information processing method in the field of optical fiber sensing, which can be used in a vibration sensing signal processing subsystem of an optical fiber perimeter security system. Background technique [0002] The optical fiber perimeter security system is an alarm system that uses optical fiber as a sensor to realize distributed perimeter security monitoring. The main sensing component of the system is a vibrating optical fiber. This uniquely designed optical fiber is very sensitive to movement, pressure and vibration. It can be used along the fence , The fence is laid to detect intrusions such as climbing and knocking, and it can also be laid on the soil and lawn to detect intrusions such as trampling. For some important facilities or areas such as military restricted areas, airports, nuclear power plants, etc., as well as places where theft and destruct...

AI Technical Summary

Problems solved by technology

Similar to the wavelet energy method, this type of method also decomposes the signal into multiple frequency bands and then calculates the energy of each frequency band. It also requires that each intrusion event signal has a better distinction in frequency band distribution, and it is similar to this method in various intrusion events. Poor recognition rate

[0008] To sum up, the existin

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