ty -jour a2-威廉姆斯，保罗·艾格 - 梁，豪au -Zhan，yafeng au -duan，chaowei py -2016 da -2016/2016/11/24 ti- X -ray Pulsars的贝叶斯分类器SP -1746925 VL -2016AB - 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. SN - 1687-5966 UR - https://doi.org/10.1155/2016/1746925 DO - 10.1155/2016/1746925 JF - International Journal of Aerospace Engineering PB - Hindawi Publishing Corporation KW - ER -