scholarly journals Multiple harmonic X-ray pulsar signal phase estimation method

2015 ◽  
Vol 64 (21) ◽  
pp. 219702
Author(s):  
Song Jia-Ning ◽  
Xu Guo-Dong ◽  
Li Peng-Fei
2017 ◽  
Vol 70 (4) ◽  
pp. 829-846 ◽  
Author(s):  
Yidi Wang ◽  
Wei Zheng ◽  
Dapeng Zhang

An X-ray pulsar/starlight Doppler deeply-integrated navigation method is proposed in this paper. A starlight Doppler measurement-aided phase propagation model, which can remove the orbital effect within the recorded photon Time Of Arrivals (TOAs), is derived, and guarantees that the pulse phase can be extracted from the converted photon TOAs using computationally efficient methods. Some simulations are performed by a hardware-in-loop system to verify the performance of the integrated pulse phase estimation method as well as of the integrated navigation method. The integrated pulse phase estimation method could achieve an estimation performance similar to the existing method for orbiting vehicles at the cost of much less computational complexity, is capable of handling the signals of millisecond pulsars, and is applicable to various vehicles. In addition, the proposed integrated navigation method could provide reliable positioning results for various vehicles.


2014 ◽  
Vol 15 (6) ◽  
pp. 458-469 ◽  
Author(s):  
Hua Zhang ◽  
Lu-ping Xu ◽  
Yang-he Shen ◽  
Rong Jiao ◽  
Jing-rong Sun

2016 ◽  
Vol 29 (3) ◽  
pp. 746-753 ◽  
Author(s):  
Mengfan Xue ◽  
Xiaoping Li ◽  
Haifeng Sun ◽  
Haiyan Fang

Aerospace ◽  
2021 ◽  
Vol 8 (9) ◽  
pp. 240
Author(s):  
Yusong Wang ◽  
Yidi Wang ◽  
Wei Zheng ◽  
Minzhang Song ◽  
Guanghua Li

X-ray pulsar-based navigation (XNAV) is a promising autonomous navigation method, and the pulse phase is the basic measurement of XNAV. However, the current methods for estimating the pulse phase for orbiting spacecraft have a high computational cost. This paper proposes a stellar angle measurement-aided pulse phase estimation method for high Earth orbit (HEO) spacecraft, with the aim of reducing the computational cost of pulse phase estimation in XNAV. In this pulse phase estimation method, the effect caused by the orbital motion of the spacecraft is roughly removed by stellar angle measurement. Furthermore, a deeply integrated navigation method using the X-ray pulsar and the stellar angle is proposed. The performances of the stellar angle measurement-aided pulse phase estimation method and the integrated navigation method were verified by simulation. The simulation results show that the proposed pulse phase estimation method can handle the signals of millisecond pulsars and achieve pulse phase estimation with lower computational cost than the current methods. In addition, for HEO spacecraft, the position error of the proposed integrated navigation method is lower than that of the stellar angle navigation method.


2019 ◽  
Vol 1 (2) ◽  
pp. 14-19
Author(s):  
Sui Ping Lee ◽  
Yee Kit Chan ◽  
Tien Sze Lim

Accurate interpretation of interferometric image requires an extremely challenging task based on actual phase reconstruction for incomplete noise observation. In spite of the establishment of comprehensive solutions, until now, a guaranteed means of solution method is yet to exist. The initially observed interferometric image is formed by 2π-periodic phase image that wrapped within (-π, π]. Such inverse problem is further corrupted by noise distortion and leads to the degradation of interferometric image. In order to overcome this, an effective algorithm that enables noise suppression and absolute phase reconstruction of interferometric phase image is proposed. The proposed method incorporates an improved order statistical filter that is able to adjust or vary on its filtering rate by adapting to phase noise level of relevant interferometric image. Performance of proposed method is evaluated and compared with other existing phase estimation algorithms. The comparison is based on a series of computer simulated and real interferometric data images. The experiment results illustrate the effectiveness and competency of the proposed method.


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