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Design of an Enhanced Turbulence Detection Process Considering Aircraft Response

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Communications, Signal Processing, and Systems (CSPS 2019)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 571))

Abstract

Turbulence is very hazardous to the flight safety, which generally can be detected by airborne weather radar. In newly specification DO-220A revised by Radio Technical Commission for Aeronautics (RTCA), standards of enhanced turbulence detection with airborne weather radar have been complemented. In the specification, it is stated that the characteristics of aircrafts should be taken into account in the turbulence detecting process. The aircraft response following a turbulence encounter is analysed in this paper, and then the characteristics of aircrafts are quantified by employing the load factor. Based on the quantified analysis, the vertical load factor is predicted based on both radar observation and the characteristics of aircraft. It can provide more accurate turbulence metrics for crews involved with different aircraft types. The simulation results demonstrate that the vertical load factor based turbulence detection process meets requirements of DO-220A. Furthermore, the research is important for the study of enhanced turbulence detection specifications documented in DO-220A.

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Acknowledgements

We thank the Foundation Items: National Nature Science Foundation of China (NSFC) under grant U1633106, U1733116, National University’s Basic Research Foundation of China under grant No. 3122017006, and Foundation for Sky Young Scholars of Civil Aviation University of China.

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Authors and Affiliations

  1. Tianjin Key Lab for Advanced Signal Processing, Civil Aviation University of China, Tianjin, China

    Yuandan Fan, Xiaoguang Lu, Hai Li & Renbiao Wu

Authors
  1. Yuandan Fan
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  2. Xiaoguang Lu
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  3. Hai Li
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  4. Renbiao Wu
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Corresponding authors

Correspondence to Yuandan Fan or Hai Li .

Editor information

Editors and Affiliations

  1. Department of Electrical Engineering, University of Texas at Arlington, Arlington, TX, USA

    Qilian Liang

  2. College of Electronic and Communication Engineering, Tianjin Normal University, Tianjin, China

    Wei Wang

  3. School of Information and Communication Engineering, Dalian University of Technology, Dalian, Liaoning, China

    Xin Liu

  4. School of Information Science and Technology, Dalian Maritime University, Dalian, Liaoning, China

    Zhenyu Na

  5. School of Electronics and Information Engineering, Harbin Institute of Technology, Harbin, China

    Min Jia

  6. College of Physical and Electronic Information, Tianjin Normal University, Tianjin, China

    Baoju Zhang

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Fan, Y., Lu, X., Li, H., Wu, R. (2020). Design of an Enhanced Turbulence Detection Process Considering Aircraft Response. In: Liang, Q., Wang, W., Liu, X., Na, Z., Jia, M., Zhang, B. (eds) Communications, Signal Processing, and Systems. CSPS 2019. Lecture Notes in Electrical Engineering, vol 571. Springer, Singapore. https://doi.org/10.1007/978-981-13-9409-6_44

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  • DOI: https://doi.org/10.1007/978-981-13-9409-6_44

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-9408-9

  • Online ISBN: 978-981-13-9409-6

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