一种脉冲星周期的时域估计新方法

发布时间：2018-06-01 17:11

本文选题：脉冲星搜索 + 周期估计　；参考：《物理学报》2012年06期

【摘要】：脉冲星信号的周期估计在脉冲星搜索、观测以及定时研究中具有重要作用.在分析脉冲星周期频域识别方法的基础上,基于脉冲星观测信号的二阶循环平稳模型,提出了一种周期估计的时域新方法—最大相关方差搜索法.通过对观测信号按假定周期(可变)分组,计算分组后不同时刻的相关系数,进一步得到系数的方差,然后寻找不同周期下的方差最大值,即可得到脉冲星的辐射周期估计.分别对单峰脉冲星(PSR J0437-4715)的实测信号、双峰脉冲星(PSR B1821-24)的仿真信号以及ATNF EPN数据库中的多颗脉冲星数据进行了周期估计,均得到了令人满意的结果.对众多脉冲星的计算结果表明,与傅里叶频谱法相比,该时域方法对噪声不敏感,尤其在低信噪比情况下仍表现出较优越的性能;与双谱相干统计量方法相比,运算复杂度更低;尽管其在处理非连续观测数据时能力不足,但仍然可为微弱脉冲星的实时周期估计提供有力参考.
[Abstract]:The period estimation of pulsar signal plays an important role in pulsar search, observation and timing research. Based on the analysis of pulsar periodic frequency domain identification method and the second order cyclic stationary model of pulsar observation signal, a new time-domain method for period estimation, the maximum correlation variance search method, is proposed. By grouping the observed signals according to the assumed period (variable), the correlation coefficients at different times after the grouping are calculated, and the variance of the coefficients is further obtained, then the maximum variance of the coefficients is found, and the estimation of the radiative period of the pulsar can be obtained. The period estimates of the measured signals of single peak pulsar (PSR J0437-4715), the simulation signal of two-peak pulsar (PSRB1821-24) and the data of multiple pulsars in ATNF EPN database are obtained. The results are satisfactory. The calculation results of many pulsars show that compared with the Fourier spectrum method, the time domain method is not sensitive to noise, especially in the case of low signal-to-noise ratio (SNR), and is superior to the bispectral coherent statistics method. The computational complexity is lower and it can provide a powerful reference for the real-time period estimation of weak pulsars, although its ability in processing discontinuous observation data is insufficient.
【作者单位】：西安理工大学自动化与信息工程学院;中国科学院西安光学精密机械研究所瞬态光学与光子技术国家重点实验室;
【基金】：国家自然科学基金(批准号:61004122) 数学天元基金(批准号:11026051) 陕西省自然科学基金(批准号:2010JQ8002) 陕西省教育厅项目(批准号:2010JK724) 江苏省博士集聚计划(批准号:201062) 西安理工大学高层次人员科研基金(批准号:105-210919)资助的课题~~
【分类号】：P145.6

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