A Bayesian Classifier for X-Ray Pulsars Recognition

المؤلفون المشاركون

Zhan, Yafeng
Liang, Hao
Duan, Chaowei

المصدر

International Journal of Aerospace Engineering

العدد

المجلد 2016، العدد 2016 (31 ديسمبر/كانون الأول 2016)، ص ص. 1-10، 10ص.

الناشر

Hindawi Publishing Corporation

تاريخ النشر

2016-11-24

دولة النشر

مصر

عدد الصفحات

10

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.

نمط استشهاد جمعية علماء النفس الأمريكية (APA)

Liang, Hao& Zhan, Yafeng& Duan, Chaowei. 2016. A Bayesian Classifier for X-Ray Pulsars Recognition. International Journal of Aerospace Engineering،Vol. 2016, no. 2016, pp.1-10.
https://search.emarefa.net/detail/BIM-1104976

نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)

Liang, Hao…[et al.]. A Bayesian Classifier for X-Ray Pulsars Recognition. International Journal of Aerospace Engineering No. 2016 (2016), pp.1-10.
https://search.emarefa.net/detail/BIM-1104976

نمط استشهاد الجمعية الطبية الأمريكية (AMA)

Liang, Hao& Zhan, Yafeng& Duan, Chaowei. A Bayesian Classifier for X-Ray Pulsars Recognition. International Journal of Aerospace Engineering. 2016. Vol. 2016, no. 2016, pp.1-10.
https://search.emarefa.net/detail/BIM-1104976

نوع البيانات

مقالات

لغة النص

الإنجليزية

الملاحظات

Includes bibliographical references

رقم السجل

BIM-1104976