J4 ›› 2013, Vol. 40 ›› Issue (4): 90-95.doi: 10.3969/j.issn.1001-2400.2013.04.015

• 研究论文 • 上一篇    下一篇

利用Bayesian多尺度模型的X射线脉冲星信号估计

刘秀平1;李小平1;孙海峰2;方海燕1   

  1. (1. 西安电子科技大学 机电工程学院,陕西 西安  710071;
    2. 西安电子科技大学 电子工程学院,陕西 西安  710071)
  • 收稿日期:2012-10-16 出版日期:2013-08-20 发布日期:2013-10-10
  • 通讯作者: 刘秀平
  • 作者简介:刘秀平(1981-),男,西安电子科技大学博士研究生,E-mail: liuxiuping8@126.com.
  • 基金资助:

    中央高校基本科研业务费专项资金资助项目(K5051204004)

Estimation of the X-ray pulsar signal based on the Bayesian multiscale model

LIU Xiuping1;LI Xiaoping1;SUN Haifeng2;FANG Haiyan1   

  1. (1. School of Mechano-electronic Engineering, Xidian Univ., Xi'an  710071, China;
    2. School of Electronic Engineering, Xidian Univ., Xi'an  710071, China)
  • Received:2012-10-16 Online:2013-08-20 Published:2013-10-10
  • Contact: LIU Xiuping

摘要:

为提取淹没在强噪声中的X射线脉冲星信号,提出了利用Bayesian多尺度模型的估计方法.该方法根据泊松过程对X射线脉冲星信号建立模型,通过递归式二次分割算法对信号进行多尺度分解.利用独立泊松随机变量的特性建立了X射线脉冲星信号的强度模型,在均方误差损失函数下,通过后验均值得到信号的Bayesian估计.对罗西探测器(RXTE)卫星的实测数据仿真分析,证实了该算法对提取X射线脉冲星信号能达到较好的效果.

关键词: X射线脉冲星, 降噪, 泊松过程, 周期叠加, Bayesian多尺度模型

Abstract:

To extract the X-ray pulsar signal buried in the strong noise, an estimation method based on the Bayesian multiscale model is proposed. The X-ray pulsar signal is modeled according to the Poisson process. The algorithm is used to decompose the signal into multiscale trees using Recursive Dyadic Partitions. The signal intensity is modeled by the characteristic of independent Poisson random variance. Under the squared-error loss function, the estimator is obtained by computing the posterior estimation. The performance of the algorithm is investigated through real-data from RXTE. The effectiveness and applicability of the proposed approach are demonstrated.

Key words: X-ray pulsar, denoising, Poisson process, epoch folding, Bayesian multiscale model