scholarly journals Point-ahead analysis and pre-pointing link stability study of intersatellite laser communication

2020 ◽  
Vol 50 (1) ◽  
Author(s):  
Fu-rui Zhang ◽  
Jun-feng Han ◽  
Ping Ruan

The static bias error angle obviously affects pre-pointing links’ stability in the presence of vibration in intersatellite laser communication. The 2nd order point-ahead angle is a source of misalignment which was ignored in most solutions, and this is the concern of our paper. In this study, we present a further analytical investigation into the point-ahead angle in complex satellite maneuvering environment. Static bias error angle induced by the 2nd order point-ahead angle has been studied under different intersatellite links. The probability density function of the pre-pointing links’ outage has been derived in the presence of pointing jitter taking consideration of the static bias angle, and the link budget has also been analyzed. Simulation model of link stability has been established to verify the numerical results by the Monte Carlo method in Matlab-Simulink environment. The results have shown that the 2nd order point-ahead angle has a significant detrimental impact on link stability in long distance links. It is a neglectable factor. This work is dedicated to intersatellite laser communication system design.

2015 ◽  
Vol 33 (24) ◽  
pp. 5201-5209 ◽  
Author(s):  
Babar Hussain ◽  
Xianbo Li ◽  
Fengyu Che ◽  
C. Patrick Yue ◽  
Liang Wu

1988 ◽  
Author(s):  
W. L. Casey ◽  
G. R. Doughty ◽  
J. G. Houston, ◽  
R. K. Marston ◽  
L. J. O'Pella ◽  
...  

2017 ◽  
Vol 70 (4) ◽  
pp. 810-828 ◽  
Author(s):  
Shuqiang Xue ◽  
Yuanxi Yang

Nonlinear least squares estimations have been widely applied in positioning. However, nonlinear least squares estimations are generally biased. As the Gauss-Newton method has been widely applied to obtain a nonlinear least squares solution, we propose an iterative procedure for obtaining unbiased estimations with this method. The characteristics of the linearization error are discussed and a systematic error source of the linearization error needs to be removed to guarantee the unbiasedness. Both the geometrical condition and the statistical condition for unbiased nonlinear least squares estimations are revealed. It is shown that for long-distance observations of high precision, or for a positioning configuration with the lowest Geometric Dilution Of Precision (GDOP), the nonlinear least squares estimations tend to be unbiased; but for short-distance cases, the bias in the nonlinear least squares solution should be estimated to obtain unbiased values by removing the bias from the nonlinear least squares solution. The proposed results are verified by the Monte Carlo method and this shows that the bias in nonlinear least squares solution of short-distance distances cannot be ignored.


2020 ◽  
Vol 10 (13) ◽  
pp. 4466
Author(s):  
Xuelin Lei ◽  
Xiaoshan Ma ◽  
Zhen Yang ◽  
Xiaodong Peng ◽  
Yun Li ◽  
...  

Long-distance imaging in time-varying scattering media, such as atmosphere, is a significant challenge. Light is often heavily diffused while propagating through scattering media, because of which the clear imaging of objects concealed by media becomes difficult. In this study, instead of suppressing diffusion by multiple scattering, we used natural randomness of wave propagation through atmospheric scattering media as an optimal and instantaneous compressive imaging mechanism. A mathematical model of compressive imaging based on the modulation of atmospheric scattering media was established. By using the Monte Carlo method, the atmospheric modulation matrix was obtained, and the numerical simulation of modulation imaging of atmospheric scattering media was performed. Comparative experiments show that the atmospheric matrix can achieve the same modulation effect as the Hadamard and Gaussian random matrices. The effectiveness of the proposed optical imaging approach was demonstrated experimentally by loading the atmospheric measurement matrix onto a digital micromirror device to perform single pixel compressive sensing measurements. Our work provides a new direction to ongoing research in the field of imaging through scattering media.


2019 ◽  
Vol 29 ◽  
pp. 10-19 ◽  
Author(s):  
Philippe Holzhey ◽  
Pankaj Yadav ◽  
Silver-Hamill Turren-Cruz ◽  
Amita Ummadisingu ◽  
Michael Grätzel ◽  
...  

2019 ◽  
Vol 795 ◽  
pp. 225-232 ◽  
Author(s):  
Ming Fei Li ◽  
Jian Chen ◽  
Zheng Qiang Lei ◽  
Hong Long Zheng ◽  
Zai Rong Li

To introduce a method for reliability analysis of China's large-scale natural gas pipeline system, one should first have a method to calculate the reliability of pipe segments, compressors, valves, and other factors. This article models the rules prescribed in BS7910-2013, a guide to methods for assessing the acceptability of flaws in metallic structures, and combines pipeline reliability assessments from CSA Z662-2015 to present a method (based on the Monte Carlo method) to calculate the failure probability/reliability of long-distance pipelines containing a large number of girth weld defects. The method involves the destruction of plastic material, brittle fracture failure analysis, consideration of the division of units by using pipeline area classes for calculation, and reliability index analysis. The results of a magnetic flux leakage (MFL) in-line inspection (ILI) of a defective girth weld from a section of a pipeline in China are used to demonstrate how to determine the reliability of the entire pipeline.


Author(s):  
Sreeja Nag ◽  
Edwin Gomez ◽  
Sam Feller ◽  
Jonathan Gibbs ◽  
Jeffrey Hoffman

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