Automatic Signal Recognition Methods of Interferometric Optical Fiber Sensor Array Based on Support Vector Machine

Because of the polymorphism of the array signal, there is a big error in the recognition of the array signal. Therefore, an automatic recognition method of interferometric fiber sensor array signal based on support vector machine is proposed. On the analysis of the interferometric sensing technology, on the basis of the running mechanism, the short-time logarithm energy extraction of the array signal is realized, and based on the related parameters, it is set to improve the effect of signal acquisition. SVM is used to analyze the array signal decomposition; the decomposition is obtained by using the variational iteration search model modal component of center frequency and bandwidth. On this basis, signal recognition is realized by the repetition rate feature and small window repetition rate feature. The test results show that the recognition accuracy of the design method is above 97%, and it has a good application effect.