X-ray pulsar weak signal detection based on Bayesian estimation
X-ray pulsar weak signal detection based on Bayesian estimation
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DOI：
10.7498/aps.60.049701
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发表时间：
2011-04
期刊：
影响因子：
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通讯作者：
Zhang Hua;Xu Lu-ping;Xie Qing;Luo Nan
中科院分区：
文献类型：
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作者：
Zhang Hua;Xu Lu-ping;Xie Qing;Luo Nan
综合轮廓、通量和周期是脉冲星的三大特征。利用这些特点，提出了一种基于贝叶斯估计的时域检测方法来检测脉冲星周期辐射信号。以X射线脉冲星的泊松分布模型为基础，以非脉冲区域的噪声观测作为先验知识，推导了信号概率分布。以信号概率的累积分布函数为判据来检测X射线脉冲星的微弱信号并提取相位偏移。利用RXTE数据和仿真数据进行实验验证，结果表明该方法优于基于高斯分布模型的同类方法，并且能够给出一定精度的相位偏移。
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.