Optical Fiber Time Transfer Host Computer Control System Based On Labview

With the gradual development of integrated systems composed of multiple geo-subsystems in important fields,such as radar,communications,and national defense,the remote systems put forward higher requirements for time signal transmission and synchronization technology to complete the precise synchronization of remote systems.Time transfer technology has gradually become an important technology which is concerned by domestic and foreign research groups.In the optical fiber-based time transfer system,the host computer control system now performs real-time data collection,data processing and data transmission on parameters such as time interval,optical fiber delay and optical fiber temperature,and provides the function of a visual data analysis panel.However,due to the failure to expand the software function,there are problems that many manual adjustment methods still exist,so it is difficult to fix the parameters in real time.At the same time,in the time transfer system,temperature is an important parameter that affects the transmission delay of the fiber link and system performance.It is difficult to measure the temperature of the fiber in the field with the temperature monitoring system using a thermometer.In this paper,for the problem of on-site optical fiber time signal transmission,such as the redundant manual adjustment process,the internal parameters which are hard to modify,and the temperature which is difficult to monitor during remote measurement.The main work of the thesis is as follows:1.This article studies the artificial neural network model and algorithm,expands the function of the temperature measurement system,and compares the predicted value of the neural network with the actual temperature measurement value.By selecting the input data segment of the neural network,the prediction performance is further optimized under the supervised learning system.This paper design and complete temperature prediction module using Labview platform linked with the Matlab software.2.In this paper,the parameter correction module is designed for the problem that the internal parameters of the control system are fixed and cannot be corrected in real time,which leads to system performance fluctuations.This further reduces manual adjustments,corrects internal parameters fixed in the program in real time,and reduces system jitter by more than 8ps.3.This article performs unit and functional tests on each module of the system and compares it with the expected performance indicators.In the experiment,this paper uses the built 30km laboratory fiber link and uses the host computer control system to record the test data in different states to verify the system's innovation and effectiveness.