A Bayesian Classifier for X-Ray Pulsars Recognition

الملخص EN

Recognition for X-ray pulsars is important for the problem of spacecraft’s attitude determination by X-ray Pulsar Navigation (XPNAV).

By using the nonhomogeneous Poisson model of the received photons and the minimum recognition error criterion, a classifier based on the Bayesian theorem is proposed.

For X-ray pulsars recognition with unknown Doppler frequency and initial phase, the features of every X-ray pulsar are extracted and the unknown parameters are estimated using the Maximum Likelihood (ML) method.

Besides that, a method to recognize unknown X-ray pulsars or X-ray disturbances is proposed.

Simulation results certificate the validity of the proposed Bayesian classifier.