Nonlinear Time-Varying Turbulence Signal Processing and Simulation Under Curvilinear Coordinate System

Xiaoyang Liu; Wanping Liu; Chao Liu; Xiaoping Zeng

doi:doi:10.11648/j.com.20160401.11

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Nonlinear Time-Varying Turbulence Signal Processing and Simulation Under Curvilinear Coordinate System

Xiaoyang Liu, Wanping Liu, Chao Liu, Xiaoping Zeng

Published in Communications (Volume 4, Issue 1)

Received: 16 April 2016 Accepted: 25 April 2016 Published: 13 May 2016

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Abstract

In order to analyse the nature of the turbulence, the curvilinear coordinate system is established according to the relations of cartesian coordinate system. Aiming at this turbulence mechanism, the turbulence boundary equations were established, then all grid points of the coordinates can be got by the established equations. The dangerous degree measure (risk factor) was put forward. The mathematical model of risk factor was established as to quantitatively describe the danger level of turbulence. A turbulence signal processing algorithm is proposed combined with the Doppler effect and the computing grid. The simulation results show that the curvilinear coordinate system and three-dimensional turbulence field can reflect the characteristics of turbulence, and risk factor can reflect the danger level of turbulence, the proposed turbulence signal processing algorithm can detect and forecast the turbulence effectively.

Published in	Communications (Volume 4, Issue 1)
DOI	10.11648/j.com.20160401.11
Page(s)	1-7
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2016. Published by Science Publishing Group

Keywords

Turbulence, Curvilinear Coordinate System, Grid Generation, Spectrum Width, Wind Velocity

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APA Style

Xiaoyang Liu, Wanping Liu, Chao Liu, Xiaoping Zeng. (2016). Nonlinear Time-Varying Turbulence Signal Processing and Simulation Under Curvilinear Coordinate System. Communications, 4(1), 1-7. https://doi.org/10.11648/j.com.20160401.11

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ACS Style

Xiaoyang Liu; Wanping Liu; Chao Liu; Xiaoping Zeng. Nonlinear Time-Varying Turbulence Signal Processing and Simulation Under Curvilinear Coordinate System. Communications. 2016, 4(1), 1-7. doi: 10.11648/j.com.20160401.11

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AMA Style

Xiaoyang Liu, Wanping Liu, Chao Liu, Xiaoping Zeng. Nonlinear Time-Varying Turbulence Signal Processing and Simulation Under Curvilinear Coordinate System. Communications. 2016;4(1):1-7. doi: 10.11648/j.com.20160401.11

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@article{10.11648/j.com.20160401.11,
  author = {Xiaoyang Liu and Wanping Liu and Chao Liu and Xiaoping Zeng},
  title = {Nonlinear Time-Varying Turbulence Signal Processing and Simulation Under Curvilinear Coordinate System},
  journal = {Communications},
  volume = {4},
  number = {1},
  pages = {1-7},
  doi = {10.11648/j.com.20160401.11},
  url = {https://doi.org/10.11648/j.com.20160401.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.com.20160401.11},
  abstract = {In order to analyse the nature of the turbulence, the curvilinear coordinate system is established according to the relations of cartesian coordinate system. Aiming at this turbulence mechanism, the turbulence boundary equations were established, then all grid points of the coordinates can be got by the established equations. The dangerous degree measure (risk factor) was put forward. The mathematical model of risk factor was established as to quantitatively describe the danger level of turbulence. A turbulence signal processing algorithm is proposed combined with the Doppler effect and the computing grid. The simulation results show that the curvilinear coordinate system and three-dimensional turbulence field can reflect the characteristics of turbulence, and risk factor can reflect the danger level of turbulence, the proposed turbulence signal processing algorithm can detect and forecast the turbulence effectively.},
 year = {2016}
}

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TY  - JOUR
T1  - Nonlinear Time-Varying Turbulence Signal Processing and Simulation Under Curvilinear Coordinate System
AU  - Xiaoyang Liu
AU  - Wanping Liu
AU  - Chao Liu
AU  - Xiaoping Zeng
Y1  - 2016/05/13
PY  - 2016
N1  - https://doi.org/10.11648/j.com.20160401.11
DO  - 10.11648/j.com.20160401.11
T2  - Communications
JF  - Communications
JO  - Communications
SP  - 1
EP  - 7
PB  - Science Publishing Group
SN  - 2328-5923
UR  - https://doi.org/10.11648/j.com.20160401.11
AB  - In order to analyse the nature of the turbulence, the curvilinear coordinate system is established according to the relations of cartesian coordinate system. Aiming at this turbulence mechanism, the turbulence boundary equations were established, then all grid points of the coordinates can be got by the established equations. The dangerous degree measure (risk factor) was put forward. The mathematical model of risk factor was established as to quantitatively describe the danger level of turbulence. A turbulence signal processing algorithm is proposed combined with the Doppler effect and the computing grid. The simulation results show that the curvilinear coordinate system and three-dimensional turbulence field can reflect the characteristics of turbulence, and risk factor can reflect the danger level of turbulence, the proposed turbulence signal processing algorithm can detect and forecast the turbulence effectively.
VL  - 4
IS  - 1
ER  -

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Author Information

Xiaoyang Liu

School of Computer Science and Engineering, Chongqing University of Technology, Chongqing, China
Wanping Liu

School of Computer Science and Engineering, Chongqing University of Technology, Chongqing, China
Chao Liu

School of Computer Science and Engineering, Chongqing University of Technology, Chongqing, China
Xiaoping Zeng

Postdoctoral Research Station of Information and Communication, Engineering, Chongqing University, Chongqing, China

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Plain Text BibTeX RIS

APA Style

Xiaoyang Liu, Wanping Liu, Chao Liu, Xiaoping Zeng. (2016). Nonlinear Time-Varying Turbulence Signal Processing and Simulation Under Curvilinear Coordinate System. Communications, 4(1), 1-7. https://doi.org/10.11648/j.com.20160401.11

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ACS Style

Xiaoyang Liu; Wanping Liu; Chao Liu; Xiaoping Zeng. Nonlinear Time-Varying Turbulence Signal Processing and Simulation Under Curvilinear Coordinate System. Communications. 2016, 4(1), 1-7. doi: 10.11648/j.com.20160401.11

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AMA Style

Xiaoyang Liu, Wanping Liu, Chao Liu, Xiaoping Zeng. Nonlinear Time-Varying Turbulence Signal Processing and Simulation Under Curvilinear Coordinate System. Communications. 2016;4(1):1-7. doi: 10.11648/j.com.20160401.11

Copy | Download

@article{10.11648/j.com.20160401.11,
  author = {Xiaoyang Liu and Wanping Liu and Chao Liu and Xiaoping Zeng},
  title = {Nonlinear Time-Varying Turbulence Signal Processing and Simulation Under Curvilinear Coordinate System},
  journal = {Communications},
  volume = {4},
  number = {1},
  pages = {1-7},
  doi = {10.11648/j.com.20160401.11},
  url = {https://doi.org/10.11648/j.com.20160401.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.com.20160401.11},
  abstract = {In order to analyse the nature of the turbulence, the curvilinear coordinate system is established according to the relations of cartesian coordinate system. Aiming at this turbulence mechanism, the turbulence boundary equations were established, then all grid points of the coordinates can be got by the established equations. The dangerous degree measure (risk factor) was put forward. The mathematical model of risk factor was established as to quantitatively describe the danger level of turbulence. A turbulence signal processing algorithm is proposed combined with the Doppler effect and the computing grid. The simulation results show that the curvilinear coordinate system and three-dimensional turbulence field can reflect the characteristics of turbulence, and risk factor can reflect the danger level of turbulence, the proposed turbulence signal processing algorithm can detect and forecast the turbulence effectively.},
 year = {2016}
}

Copy | Download

TY  - JOUR
T1  - Nonlinear Time-Varying Turbulence Signal Processing and Simulation Under Curvilinear Coordinate System
AU  - Xiaoyang Liu
AU  - Wanping Liu
AU  - Chao Liu
AU  - Xiaoping Zeng
Y1  - 2016/05/13
PY  - 2016
N1  - https://doi.org/10.11648/j.com.20160401.11
DO  - 10.11648/j.com.20160401.11
T2  - Communications
JF  - Communications
JO  - Communications
SP  - 1
EP  - 7
PB  - Science Publishing Group
SN  - 2328-5923
UR  - https://doi.org/10.11648/j.com.20160401.11
AB  - In order to analyse the nature of the turbulence, the curvilinear coordinate system is established according to the relations of cartesian coordinate system. Aiming at this turbulence mechanism, the turbulence boundary equations were established, then all grid points of the coordinates can be got by the established equations. The dangerous degree measure (risk factor) was put forward. The mathematical model of risk factor was established as to quantitatively describe the danger level of turbulence. A turbulence signal processing algorithm is proposed combined with the Doppler effect and the computing grid. The simulation results show that the curvilinear coordinate system and three-dimensional turbulence field can reflect the characteristics of turbulence, and risk factor can reflect the danger level of turbulence, the proposed turbulence signal processing algorithm can detect and forecast the turbulence effectively.
VL  - 4
IS  - 1
ER  -

Copy | Download