High-accuracy pulsar time delay estimation using an FrFT-based GCC

被引：3

作者：

Rao, Yuan ^{[1
]}

Kang, Zhiwei ^{[1
]}

Liu, Jin ^{[2
,3
]}

Ma, Xin ^{[4
]}

Gui, Mingzhen ^{[4
]}

机构：

[1] Hunan Univ, Coll Comp Sci & Elect Engn, Changsha 410082, Hunan, Peoples R China

[2] Wuhan Univ Sci & Technol, Coll Informat Sci & Engn, Wuhan 430081, Hubei, Peoples R China

[3] Wuhan Univ Sci & Technol, Engn Res Ctr Met Automat & Measurement Technol, Minist Educ, Wuhan 430081, Hubei, Peoples R China

[4] Beihang Univ, Coll Instrument Sci & Opto Elect Engn, Beijing 100191, Peoples R China

来源：

OPTIK | 2019年 / 181卷

基金：

中国国家自然科学基金;

关键词：

Time delay estimation; X-ray pulsars; Generalized cross-correlation; Fractional Fourier transform; FOURIER-TRANSFORM;

D O I：

10.1016/j.ijleo.2018.12.087

中图分类号：

O43 [光学];

学科分类号：

070207 ; 0803 ;

摘要：

To improve the accuracy of estimating the time delay of X-ray pulsar-based navigation (XNAV), this paper proposes a new generalized cross-correlation (GCC) algorithm based on fractional Fourier transform (FrFT). Given that the effect of noise on signal can be suppressed or eliminated in a highly effective manner in some FrFT domain, we identify the optimum FrFT domain before computing the self- and cross-power spectrums of the standard and observed pulsar integrated pulse profiles. We also apply the FrFT of the standard and observed pulsar integrated pulse profiles in the optimum FrFT domain. By using the FrFT-based GCC, we obtain highly accurate estimations of time delay. The experimental results reveal that the proposed algorithm outperforms the conventional GCC in terms of accuracy.

引用

页码：611 / 618

页数：8

共 20 条

[1] THE FRACTIONAL FOURIER-TRANSFORM AND TIME-FREQUENCY REPRESENTATIONS [J].

ALMEIDA, LB .

IEEE TRANSACTIONS ON SIGNAL PROCESSING, 1994, 42 (11) :3084-3091

[2]

[Anonymous], 2001, The Fractional Fourier Transform with Applications in Optics and Signal processing, DOI DOI 10.23919/ECC.2001.7076127

[3] A robust high-resolution time-frequency representation based on the local optimization of the short-time fractional Fourier transform [J].

Awal, Md. Abdul ;

Ouelha, Samir ;

Dong, Shiying ;

Boashash, Boualem .

DIGITAL SIGNAL PROCESSING, 2017, 70 :125-144

[4]

Bultheel A., 2002, 337 TW DEP COMP SCI, P1

[5] High resolution spectrograms using a component optimized short-term fractional Fourier transform [J].

Catherall, Aled T. ;

Williams, Duncan P. .

SIGNAL PROCESSING, 2010, 90 (05) :1591-1596

[6] Immersion of the Fourier transform in a continuous group of functional transformations [J].

Condon, EU .

PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 1937, 23 :158-164

[7] Robust time-frequency representation based on the signal normalization and concentration measures [J].

Djurovic, Igor ;

Stankovic, LJubisa ;

Simeunovic, Marko .

SIGNAL PROCESSING, 2014, 104 :424-431

[8] X-Ray Pulsar-Based Relative Navigation using Epoch Folding [J].

Emadzadeh, Amir A. ;

Speyer, Jason L. .

IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS, 2011, 47 (04) :2317-2328

[9] On Modeling and Pulse Phase Estimation of X-Ray Pulsars [J].

Emadzadeh, Amir A. ;

Speyer, Jason L. .

IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2010, 58 (09) :4484-4495

[10]

Fang H. Y., 2016, ACTA PHYS SINICA, V65, P309

← 1 2 →