Research On Vibration Signal Processing Algorithm Based On Scale Correction

In order to detect the position of vibration signal and recognize the type of vibration signal accurately,the vibration signal processing technology based on scale correction is studied.On the basis of collecting a lot of data in the field,this paper studies the detection algorithm of Constant False Alarm Rate(CFAR)combined with zero pass rate and the recognition algorithm based on linear scale inconsistency correction algorithm to improve the performance of optical fiber warning system.The first chapter is the introduction of the full text,first of all introduced the research background and significance of this topic,and highlighted the importance to improve vibration signal processing methods.Then,the current situation and progress of optical fiber early warning technology,detection and recognition algorithm are analyzed.On this basis,the disadvantages of the existing optical fiber vibration signal processing algorithm are pointed out,and the combination of CFAR and zero pass rate is applied to detection,and Mellin transform is applied to recognition based on scale correction.Finally,the main content and innovation work of this paper are briefly explained.The second chapter mainly describes the components of optical fiber warning system,introduces the system software and hardware equipment.Then,the main principles of the system for the acquisition,detection and recognition of optical fiber vibration signal are explained in detail,so as to better detect and identify the signal.In the third chapter,the algorithm of optical fiber vibration signal detection is studied to improve the detection rate.According to the existing problems,a large number of actual vibration signals are collected,and a new detection algorithm combining multiple detection methods is studied.This paper presents a detection algorithm which combines the CFAR and zero pass rate.Firstly,the vibration signal is calculated with zero pass rate,and then an appropriate threshold is designed and tested by the method of constant virtual police.Because of the combination of two detection methods,the detection performance is improved under the background of complex interference.The fourth chapter mainly studies the vibration signal recognition technology based on scale correction,in order to identify the type of harmful intrusion signal more precisely in the presence of external interference.Firstly,points out the main problems of other algorithms in optical fiber vibration signal recognition,such as decreasing rate and limited type of recognition.In order to establish a new recognition method,the research on other field recognition algorithms is provided for optical fiber vibration signal recognition.Through simulation,the recognition performance of the algorithm is analyzed and verified,and it is proved that the proposed scale correction recognition algorithm can improve the recognition performance in the theory and practical engineering application.Then,using the neural network and the scale invariant feature,the vibration signal recognition can improve the recognition rate of the signal under external interference effectively,and identify more types of signal.Chapter five summarizes the work of this paper and puts forward the prospect of the optical fiber vibration signal processing.