Open AccessX-ray pulsar weak signal detection based on Bayesian estimation
Author(s) -
Hua Zhang,
Xu Lu-Ping,
Xie Quan,
Nan Luo
Publication year - 2011
Publication title -
wuli xuebao
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.199
H-Index - 47
ISSN - 1000-3290
DOI - 10.7498/aps.60.049701
Subject(s) - pulsar , offset (computer science) , physics , poisson distribution , bayesian probability , cumulative distribution function , algorithm , x ray pulsar , a priori and a posteriori , signal (programming language) , prior probability , astrophysics , computer science , probability density function , statistics , artificial intelligence , mathematics , philosophy , epistemology , programming language
Integrated profile, flux and period are three major characteristics of pulsar. Taking advantage of these characteristics, a time domain detecting method is presented based on Bayesian estimation to detect pulsar periodic radiation signals. The signal probability distribution is deduced based on the Poisson distribution model of X-ray pulsar, with noise observation of non-pulse region used as the priori knowledge. The cumulative distribution function of the signal probability is used as a criterion to detect weak signals of X-ray pulsars and extract the phase offset. The RXTE data and the simulation data are used for experimental verification, and the results show that the method outperforms a similar method which is based on the Gauss distribution model, in addition, it can give the phase offset in a certain accuracy.