An Improved Particle Filter for Phase Measurement of X-ray Pulsar Signal

Abstract

In order to solve the defect of traditional method based on accumulate pulse proflle process X-ray pulse signal from Pulsar, this paper changes the measurement of the X-ray pulsar signal delay to the matching between standard pulse signal proflle and the actual measured value. At flrst, Obtain pulsar standard signal proflle function by artiflcial neural network, and then the particle fllter algorithm is used to online estimate the pulsar signal delay time of observation. Secondly, To solve the sample impoverishment phenomenon of standard particle fllter, an improved particle fllter was designed and proved, which does not exist the degradation phenomena, and has high adaptive ability. Finally, because of the special features of the system, the function which indicates the output value precision is derived, and it can provide a reference for spacecraft navigation strategy. The comparisons of the new fllter and standard fllter illustrate the new fllter has better adaptability and higher accuracy.