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Time delay estimation method of X-ray pulsar observed profile based on the optimal frequency band

Fang Hai-Yan Liu Bing Li Xiao-Ping Sun Hai-Feng Xue Meng-Fan Shen Li-Rong Zhu Jin-Peng

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Time delay estimation method of X-ray pulsar observed profile based on the optimal frequency band

Fang Hai-Yan, Liu Bing, Li Xiao-Ping, Sun Hai-Feng, Xue Meng-Fan, Shen Li-Rong, Zhu Jin-Peng
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  • In order to improve the time delay estimation accuracy of the observed profile in the X-ray pulsar based navigation, the spectral characteristics of the observed profile of X-ray pulsar and the drawback of the classical Taylor fast Fourier transform (FFT) time delay estimation method are analyzed. It is found that when estimating the time delay, we can abandon the higher frequency components that are always affected by noise seriously, but only utilize the information about the low frequency part. Based on this idea, by modifying the weigh function of the classical Taylor FFT time delay estimation method, a new time delay estimation algorithm based on the optimal frequency band is proposed, in which the optimal frequency band is determined by establishing the relationship between the selected frequency band and the time delay estimation accuracy under different signal-to-noise ratios (SNRs). Then by using the real data obtained with the proportional counter array, the low-energy (2-60 keV) detection instrument boarded on the Rossi X-ray Timing Explorer satellite, the optimal frequency as a function the SNR of observed profile is given for the PSR B0531+21 (namely the Crab pulsar) through the Monte-Carlo technique. Since the parameters of different pulsars are known, in practical navigation, the optimal frequency in an observation time for a certain pulsar can be estimated in advance by using the simulation data or the obtained real data of the pulsar, which can remarkably alleviate the onboard computational burden. Finally, a series of numerical simulations and experiments using real data of Crab pulsar are designed to evaluate the performance of the proposed time delay estimation algorithm. The main results can be summarized as follows: the proposed estimator outperforms the normally used fast approximate maximum-likelihood (FAML), cross correlation (CC), nonlinear least square (NLS) and weighted nonlinear least-square (WNLS) estimators when the observation time is short or the source flux is small; when the observation time is long or the source flux is large, its estimation accuracy is almost the same as those of CC and NLS estimators and lower than those of the FAML and WNLS estimators, but its computational complexity is smaller than those of NLS, FAML and WNLS estimators. The above results indicate the high estimation accuracy and high computational efficiency of the proposed time delay estimation method, which can be used in the case that the observation time is restricted to be short or the source flux of the usable pulsar is small in X-ray pulsar based navigation.
      Corresponding author: Fang Hai-Yan, hyfang@xidian.edu.cn
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    [2]

    Xue M F, Li X P, Sun H F, Liu B, Fang H Y, Shen L R 2015 Acta Phys. Sin. 64 219701 (in Chinese) [薛梦凡, 李小平, 孙海峰, 刘兵, 方海燕, 沈利荣 2015 物理学报 64 219701]

    [3]

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    [4]

    Xue M F, Li X P, Fu L Z, Fang H Y, Sun H F, Shen L R 2015 Sci. China: Inf. Sci. 58 122202

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    Bei X M, Shuai P, Huang L W, Sun H F, Wu Y J, Zhang Q 2014 Acta Phys. Sin. 63 219701 (in Chinese) [贝晓敏, 帅平, 黄良伟, 孙海峰, 吴耀军, 张倩 2014 物理学报 63 219701]

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    Emadzadeh A A, Speyer J L 2011 Navigation in Space by X-Ray Pulsars (Berlin: Springer) pp24-26

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    Zhu J, Ji P Y 2008 Chin. Phys. B 17 356

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    Xue M F, Li X P, Fu L Z, Liu X P, Sun H F, Shen L R 2016 Acta Astron. 118 1

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    Huang L W, Liang B, Zhang T 2013 Sci: China G: Phys. Mech. Astron. 56 848

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    Emadzadeh A A, Golshan A R, Speyer J L 2009 Joint 48th IEEE Conference on Decision and Control and 28th Chinese Control Conference Shanghai, China, December 16-18, 2009 p1488

    [16]

    Li J X, Ke X Z 2011 Chin. Astron. Astr. 35 19

    [17]

    Rinauro S, Colonnese S, Scarano G 2013 Signal Process. 93 326

    [18]

    Zhang H, Xu L P 2011 Sci. China: Technol. Sci. 54 2263

    [19]

    Sun H F, Bao W M, Fang H Y, Bao W M 2015 J. Huazhong Univ. Sci. Technol. (Natural Science Edition) 43 121

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    Sun H F, Bao W M, Fang H Y, Li X P 2014 Acta Phys. Sin. 63 069701 (in Chinese) [孙海峰, 包为民, 方海燕, 李小平 2014 物理学报 63 069701]

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    Piersol A G 1981 IEEE Trans. Acoust. Speech Signal Process. ASSP-29 471

    [23]

    Zhao Z, Hou Z Q 1985 Acta Acustica 10 201 (in Chinese) [赵真, 侯自强 1985 声学学报 10 201]

    [24]

    Ross S M 2007 Introduction to Probability Models (9th Ed) (New York: Elsevier) pp101-110

  • [1]

    Sheikh S I 2005 Ph. D. Dissertation (Maryland: University of Maryland)

    [2]

    Xue M F, Li X P, Sun H F, Liu B, Fang H Y, Shen L R 2015 Acta Phys. Sin. 64 219701 (in Chinese) [薛梦凡, 李小平, 孙海峰, 刘兵, 方海燕, 沈利荣 2015 物理学报 64 219701]

    [3]

    Shuai P, Li M, Chen S L, Huang Z 2009 Principles and Techniques of X-ray Pulsar Based Navigation System (Beijing: China Astronauic Publishing House) p15 (in Chinese) [帅平, 李明, 陈绍龙, 黄震 2009 X射线脉冲星导航系统原理与方法 (北京: 中国宇航出版社) 第15页]

    [4]

    Xue M F, Li X P, Fu L Z, Fang H Y, Sun H F, Shen L R 2015 Sci. China: Inf. Sci. 58 122202

    [5]

    Bernhardt M G, Becker W, Prinz T, Breithuth F M, Walter U 2011 Proceedings of 2 nd International Conference on Space TechnologyAthens, Greece, September 15-17, 2011 p1

    [6]

    Becker W 2009 X-Ray Emission From Pulsars and Neutron Stars, in Neutron Stars and Pulsars (Berlin: Springer) pp91-95

    [7]

    Sala J, Urruela A, Villares X 2004 ARIADNA Study 3 4202

    [8]

    Hanson J E 1996 Ph. D. Dissertation (USA: Stanford University)

    [9]

    Bei X M, Shuai P, Huang L W, Sun H F, Wu Y J, Zhang Q 2014 Acta Phys. Sin. 63 219701 (in Chinese) [贝晓敏, 帅平, 黄良伟, 孙海峰, 吴耀军, 张倩 2014 物理学报 63 219701]

    [10]

    Emadzadeh A A, Speyer J L 2010 IEEE Trans. Sig. Proc. 58 4484

    [11]

    Emadzadeh A A, Speyer J L 2011 Navigation in Space by X-Ray Pulsars (Berlin: Springer) pp24-26

    [12]

    Zhu J, Ji P Y 2008 Chin. Phys. B 17 356

    [13]

    Xue M F, Li X P, Fu L Z, Liu X P, Sun H F, Shen L R 2016 Acta Astron. 118 1

    [14]

    Huang L W, Liang B, Zhang T 2013 Sci: China G: Phys. Mech. Astron. 56 848

    [15]

    Emadzadeh A A, Golshan A R, Speyer J L 2009 Joint 48th IEEE Conference on Decision and Control and 28th Chinese Control Conference Shanghai, China, December 16-18, 2009 p1488

    [16]

    Li J X, Ke X Z 2011 Chin. Astron. Astr. 35 19

    [17]

    Rinauro S, Colonnese S, Scarano G 2013 Signal Process. 93 326

    [18]

    Zhang H, Xu L P 2011 Sci. China: Technol. Sci. 54 2263

    [19]

    Sun H F, Bao W M, Fang H Y, Bao W M 2015 J. Huazhong Univ. Sci. Technol. (Natural Science Edition) 43 121

    [20]

    Taylor J H 1992 Philos. T. R. Soc. A 341 117

    [21]

    Sun H F, Bao W M, Fang H Y, Li X P 2014 Acta Phys. Sin. 63 069701 (in Chinese) [孙海峰, 包为民, 方海燕, 李小平 2014 物理学报 63 069701]

    [22]

    Piersol A G 1981 IEEE Trans. Acoust. Speech Signal Process. ASSP-29 471

    [23]

    Zhao Z, Hou Z Q 1985 Acta Acustica 10 201 (in Chinese) [赵真, 侯自强 1985 声学学报 10 201]

    [24]

    Ross S M 2007 Introduction to Probability Models (9th Ed) (New York: Elsevier) pp101-110

Metrics
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  • Cited By: 0
Publishing process
  • Received Date:  05 December 2015
  • Accepted Date:  02 March 2016
  • Published Online:  05 June 2016

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