Motion Model of Floating Weather Sensing Node for Typhoon Detection

Hui Lu; Xinyu Dong; Xianbin Cao

doi:10.23919/CSMS.2021.0029

Complex System Modeling and Simulation 2022, 2(1): 96-111 https://doi.org/10.23919/CSMS.2021.0029

Open Access | Issue | Published: 30 March 2022

Motion Model of Floating Weather Sensing Node for Typhoon Detection

Show Author's Information Hide Author's Information Hui Lu^¹(

), Xinyu Dong^¹, Xianbin Cao^¹

1 School of Electronic and Information Engineering, Beihang University, Beijing 100191, China

Keywords:

simulated test, typhoon detection, chaotic system, motion model, Doppler shift

Cite this article:

Lu H, Dong X, Cao X. Motion Model of Floating Weather Sensing Node for Typhoon Detection. Complex System Modeling and Simulation, 2022, 2(1): 96-111. https://doi.org/10.23919/CSMS.2021.0029

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Abstract

To improve the accuracy of typhoon prediction, it is necessary to detect the internal structure of a typhoon. The motion model of a floating weather sensing node becomes the key to affect the channel frequency expansion performance and communication quality. This study proposes a floating weather sensing node motion modeling method based on the chaotic mapping. After the chaotic attractor is obtained by simulation, the position trajectory of the floating weather sensing node is obtained by space and coordinate conversion, and the three-dimensional velocity of each point on the position trajectory is obtained by multidimensional linear interpolation. On this basis, the established motion model is used to study the Doppler frequency shift, which is based on the software and physical platform. The software simulates the relative motion of the transceiver and calculates the Doppler frequency shift. The physical platform can add the Doppler frequency shift to the actual transmitted signal. The results show that this method can effectively reflect the influence of the floating weather sensing node motion on signal transmission. It is helpful to research the characteristics of the communication link and the design of a signal transceiver for typhoon detection to further improve the communication quality and to obtain more accurate interior structure characteristic data of a typhoon.

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Motion Model of Floating Weather Sensing Node for Typhoon Detection

Show Author's information Hide Author's Information Hui Lu^¹(

), Xinyu Dong^¹, Xianbin Cao^¹

1 School of Electronic and Information Engineering, Beihang University, Beijing 100191, China

Abstract

Keywords: simulated test, typhoon detection, chaotic system, motion model, Doppler shift

References(32)

L. Xing, D. Hu, and L. Tang, Development of typhoon disaster risk evaluation and early warning system integrating real-time rainfall data from the satellite, presented at 2011 19^th International Conference on Geoinformatics, Shanghai, China, 2011.https://doi.org/10.1109/GeoInformatics.2011.5981067

DOI

Y. Fang, K. Sugano, K. Oku, and K. Kawagoe, Applying a multi-dimensional time-series similarity method to typhoon-track prediction, in Proc. the 2015 IEEE 11^th International Conference on E-Science, Munich, Germany, 2015, pp. 259–262.https://doi.org/10.1109/eScience.2015.36

DOI

S. Qiu, B. Li, G. Gao, T. Zhou, X. Meng, and T. Liang, A research on typhoon tracking system based on meteorological remote sensing, presented at 2020 International Conference on Internet of Things and Intelligent Applications (ITIA), Zhenjiang, China, 2020.https://doi.org/10.1109/ITIA50152.2020.9312338

DOI

J. Xu, X. Huang, and X. Mao, Tracking and short-term forecasting of typhoon structure, in Proc. 2017 Nicograph International (NicoInt), Kyoto, Japan, 2017, pp. 25–32.https://doi.org/10.1109/NICOInt.2017.18

DOI

L. X. Zhao, W. Guo, T. Li, S. L. Xia, W. Li, and T. Zhu, Research on typhoon wind field modeling, presented at 2019 International Conference on Meteorology Observations (ICMO), Chengdu, China, 2019.

Y. Zhao, R. Sun, and C. Zhao, Application of HY-2A/SCAT sea surface winds in understanding structure of typhoons over northwestern Pacific Ocean, in Proc. 2016 4^th International Workshop on Earth Observation and Remote Sensing Applications (EORSA), Guangzhou, China, 2016, pp. 72–77.https://doi.org/10.1109/EORSA.2016.7552769

DOI

J. Tordesillas and F. Muñoz, STTE/EF-2000 typhoon new generation of automatic test bench (STTEs) for Eurofi ghter’s avionic units, IEEE Instrumentation&Measurement Magazine, vol. 10, no. 4, pp. 15–19, 2007.

DOI Google Scholar

D. Zhang, J. Zhang, F. Yao, and L. Shi, Observed characteristics change of tropical cyclones during rapid intensification over western north Pacific using cloudsat data, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 12, no. 6, pp. 1725–1733, 2019.

DOI Google Scholar

M. F. Piñeros, E. A. Ritchie, and J. S. Tyo, Detecting tropical cyclone genesis from remotely sensed infrared image data, IEEE Geoscience and Remote Sensing Letters, vol. 7, no. 4, pp. 826–830, 2010.

DOI Google Scholar

J. Huang, S. Shen, and X. Chen, Modeling and studying of the 16-QAM based system over the fading channel, in Proc. 2018 IEEE 3^rd International Conference on Cloud Computing and Internet of Things (CCIOT), Dalian, China, 2018, pp. 214–216.https://doi.org/10.1109/CCIOT45285.2018.9032710

DOI

N. Hariprasad and G. Sundari, Performance comparison of DWT OFDM and FFT OFDM in presence of CFO and Doppler effect, in Proc. 2014 International Conference on Control, Instrumentation, Communication and Computational Technologies (ICCICCT), Kanyakumari, India, 2014, pp. 567–570.https://doi.org/10.1109/ICCICCT.2014.6993026

DOI

C. W. Ormel, J. Shi, and R. Kuiper, Hydrodynamics of embedded planets’ first atmospheres – II. A rapid recycling of atmospheric gas, Monthly Notices of the Royal Astronomical Society, vol. 447, no. 4, pp. 3512–3525, 2015.

DOI Google Scholar

T. D. Bui, T. C. Basso, S. Bertoldo, and C. Attanasio, Trajectory reconstruction of balloon radiosondes for tracking air fluctuations inside warm clouds, presented at 2018 IEEE SENSORS, New Delhi, India, 2018.https://doi.org/10.1109/ICSENS.2018.8589783

DOI

M. Stork, J. Hrusak, and D. Mayer, Chaos in simple nonlinear systems and chaotic systems simulation and implementation, in Proc. 2006 International Conference on Applied Electronics, Pilsen, Czech Republic, 2006, pp. 193–196.https://doi.org/10.1109/AE.2006.4382997

DOI

W. Shi, Z. Li, and C. X. Zhang, Whole process wind characteristics field measurements of typhoon Morakot, in Proc. 2010 International Conference on Mechanic Automation and Control Engineering, Wuhan, China, 2010, pp. 4688–4691.https://doi.org/10.1109/MACE.2010.5536467

DOI

D. E. Fernandez, P. S. Chang, J. R. Carswell, R. F. Contreras, and S. J. Frasier, IWRAP: The imaging wind and rain airborne profiler for remote sensing of the ocean and the atmospheric boundary layer within tropical cyclones, presented at 2006 IEEE Aerospace Conference, Big Sky, MT, USA, 2006.https://doi.org/10.1109/TGRS.2005.851640

DOI

R. Guo, X. F. Zhang, S. Q. Ma, K. B. Tang, Q. J. Liu, W. Guo, M. Zhang, L. X. Zhao, D. W. An, S. L. Yang, et al., Design and preliminary experiment of HALE UAV podded dropsonde system, presented at 2019 International Conference on Meteorology Observations (ICMO), Chengdu, China, 2019.https://doi.org/10.1109/ICMO49322.2019.9026008

DOI

R. Ma, X. Li, M. Sun, and Z. Kuang, Experiment of meteorological disaster monitoring on unmanned aerial vehicle, presented at 2018 7^th International Conference on Agro-geoinformatics (Agro-geoinformatics), Hangzhou, China, 2018.https://doi.org/10.1109/Agro-Geoinformatics.2018.8476134

DOI

G. Zhang and X. Lin, Research on drag reduction of stratospheric airship based on height control, in Proc. 2019 Chinese Control Conference (CCC), Guangzhou, China, 2019, pp. 1451–1455.https://doi.org/10.23919/ChiCC.2019.8866667

DOI

Y. H. Miao and J. H. Zhou, Analysis on the optimal transfer of the stratospheric airship in wind field, in Proc. 2018 37^th Chinese Control Conference (CCC), Wuhan, China, 2018, pp. 9849–9853.

Y. Nakamoto and N. Shinohara, Study on a microwave power transfer system to a stratospheric platform airship, in Proc. 2018 Asia-Pacific Microwave Conference (APMC), Kyoto, Japan, 2018, pp. 1456–1458.https://doi.org/10.23919/APMC.2018.8617447

DOI

C. E. C. Souza, D. P. B. Chaves, and C. Pimentel, Digital communication systems based on three-dimensional chaotic attractors, IEEE Access, vol. 7, pp. 10523–10532, 2019.

DOI Google Scholar

J. M. Jemegbe and R. J. Pieper, Performance tests for a micro-integrator algorithm which reduces the numerical butterfly effect in time evolving nonlinear systems, in Proc. the 2012 44^th Southeastern Symposium on System Theory (SSST), Jacksonville, FL, USA, 2012, pp. 237–242.https://doi.org/10.1109/SSST.2012.6195149

DOI

J. Song, D. Meng, and Y. Wang, Analysis of chaotic behavior based on phase space reconstruction methods, in Proc. 2013 Sixth International Symposium on Computational Intelligence and Design, Hangzhou, China, 2013, pp. 414–417.https://doi.org/10.1109/ISCID.2013.216

DOI

M. Stork, One continuous and digital chaotic attractor, in Proc. 2017 10^th International Conference on Electrical and Electronics Engineering (ELECO), Bursa, Turkey, 2017, pp. 789–793.

K. Q. Luo, S. S. Qiu, Z. X. Chen, and H. Xiao, Discussion of chaos attractor simulation analysis based on periodic orbits theory, in Proc. 2010 International Conference on Computer Application and System Modeling (ICCASM 2010), Taiyuan, China, 2010, pp. 529–532.

X. Lin, Y. Yu, and H. Wang, Dynamics analysis of the stochastic Lorenz system, in Proc. the 2011 Fourth International Workshop on Chaos-Fractals Theories and Applications, Hangzhou, China, 2011, pp. 32–36.https://doi.org/10.1109/IWCFTA.2011.49

DOI

G. G. Bulut and H. GÜler, Fuzzy based chaotic synchronization of Chen systems, inProc. 2019 1^st Global Power, Energy and Communication Conference (GPECOM), Nevsehir, Turkey, 2019, pp. 30–34.

Z. L. Li, D. Huang, and C. Y. Jia, High frequency radar observation of wind field over Beibu gulf during typhoon Usagi, in Proc. 2016 IEEE Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC), Xi’an, China, 2016, pp. 19–22.

I. V. Strelnikov, I. V. Ryabov, and E. S. Klyuzhev, Direct digital synthesizer of phase-manipulated signals, based on the direct digital synthesis method, presented at 2020 Systems of Signal Synchronization, Generating and Processing in Telecommunications (SYNCHROINFO), Svetlogorsk, Russia, 2020.https://doi.org/10.1109/SYNCHROINFO49631.2020.9166040

DOI

S. H. Ibrahim, S. H. M. Ali, and M. S. Islam, Design a 24-bits pipeline phase accumulator for direct digital frequency synthesizer, in Proc. 2012 International Symposium on Instrumentation & Measurement, Sensor Network and Automation (IMSNA), Sanya, China, 2012, pp. 393–397.https://doi.org/10.1109/MSNA.2012.6324603

DOI

V. Balaji, C. K. S. D. Ranga, N. Shylashree, and N. Praveena, Design of a delta threshold voltage difference based fully embedded read only memory along with a skew sense amplifier, in Proc. 2019 4^th International Conference on Recent Trends on Electronics, Information, Communication & Technology (RTEICT), Bangalore, India, 2019, pp. 475–479.https://doi.org/10.1109/RTEICT46194.2019.9016855

DOI

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Published: 30 March 2022

Issue date: March 2022

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This work was supported in part by the National Natural Science Foundation of China (No. 61827901).

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