基于TOA信息的脉冲星信号周期估计方法（英文）

发布时间：2018-05-31 15:41

本文选题：脉冲星 + 光子　；参考：《光子学报》2017年05期

【摘要】：针对脉冲星信号周期估计需逐步搜索、计算量大等问题,提出脉冲星信号周期直接估计算法.根据周期不确定误差对时域上脉冲到达时间(Pulse Time of Arrival,TOA)估计方法的影响,推导了基于TOA信息的脉冲星信号周期估计方法的数学模型.该方法将一组观测到的脉冲光子到达时间序列(Photon Time of Arrivals,TOAs)进行等时间间隔分段,在时域上对每段TOAs进行相位估计获得相应的TOA信息,并根据建立的TOA信息与周期误差的关系采用最小二乘原理估计脉冲星信号周期.对周期准确性的评价不同于传统的依赖折叠轮廓的好坏,而是以TOA与时间图像的斜率作为依据,这一依据更直观、易于理解.理论分析与物理、计算机仿真数据结果表明,本文所提的周期估计方法能够根据短时间脉冲光子到达时间序列获得高精度和高分辨率的脉冲信号周期,有利于X射线脉冲星导航的工程应用.
[Abstract]:In order to solve the problem that the period estimation of pulsar signal needs to be searched step by step and the computation is large, a direct algorithm for estimating the period of pulsar signal is proposed. According to the effect of period uncertainty error on pulse Time of arrivalo estimation method in time domain, the mathematical model of period estimation method for pulsar signal based on TOA information is derived. In this method, a set of observed pulse photons Time of ArrivalsToas are segmented at equal intervals, and the corresponding TOA information is obtained by phase estimation of each segment of TOAs in time domain. According to the established relationship between TOA information and periodic error, the least square principle is used to estimate the period of pulsar signal. The evaluation of cycle accuracy is different from the traditional dependent folding profile, but based on the slope of TOA and time image, which is more intuitionistic and easy to understand. Theoretical analysis, physical and computer simulation results show that the period estimation method proposed in this paper can obtain high precision and high resolution pulse signal periods according to short time pulse photon arrival time series. It is beneficial to the engineering application of X-ray pulsar navigation.
【作者单位】：哈尔滨工业大学卫星技术研究所;
【基金】：The National High Technology Research and Development Program of China(No.2008AA8051602)
【分类号】：TN911.23

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