Research On Pulsar Timing Processing Method With Multi-waveband Data

In order to improve the navigation accuracy and survivability of deep space detectors,to meet the needs of increasingly complex and deep space exploration tasks,and to reduce the consumption of ground resources,it is necessary to study autonomous navigation technology.The X-ray pulsar navigation method is an astronomical autonomous navigation method,which has the advantages of strong autonomy,strong anti-interference ability,and no accumulation of navigation errors over time.The pulsar timing parameter is the basic input parameter of pulsar navigation,and its accuracy directly affects the accuracy of navigation.The sophisticated pulsar timing model relies on the comprehensive processing of the long-term observation data of the radio pulsar timing array and the space detector established on the ground.Therefore,timing data processing of pulsar multi-band data is necessary.The main research contents and results are as follows:1.Performed multi-waveband long-term data timing analysis.Firstly,show the differences between the pulsar X-ray band and the radio band observation,and the timing model suitable for X-ray is calculated based on the timing model of the radio band.Then,the method for determining the phase difference between the X-ray band and the radio band is proposed.The actual measurement data is used for verification.After that,the timing residuals of the timing model are restored and predicted based on the neural network.Finally,pre-whitening the timing residual matrix to fit the pulsar parameters better.2.A detection method for pulsar glitch is proposed.Firstly,the influence of glitch on pulse contour is expounded.Based on this influence,the detection method based on KL distance is proposed.According to the influence of glitch on signal phase,a Gaussian smoothing filter based test method is proposed.Subsequently,The simulation data is used to verify the feasibility of the two methods.The result is that the glitch can be detected by both methods.Finally,using the actual measurement data of XPNAV-1,both methods can determine the occurrence of the recent glitch.3.A pulsar multi-waveband data processing algorithm integration framework is proposed and implemented.Firstly,the overall design idea of the data processing algorithm integration framework is given.Secondly,according to the design scheme,the data processing function is realized.Finally,the data processing result based on the measured data is given.The work of the thesis makes a meaningful attempt on the timing processing of multi-band actual measurement data,which can provide a reference for improving the accuracy of the pulsar timing model and navigation.