Volume 9 Issue 6
Dec.  2020
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Article Navigation >  Journal of Radars  > 2020  >  9(6): 1032-1044
ZHOU Yejian, MA Yan, ZHANG Lei, et al. Review of on-orbit state estimation of space targets with radar imagery[J]. Journal of Radars, 2021, 10(4): 607–621. doi: 10.12000/JR21086
Citation: SHEN Chun, GAO Hang, WANG Xuesong, et al. Aircraft wake vortex parameter-retrieval system based on Lidar[J]. Journal of Radars, 2020, 9(6): 1032–1044. doi: 10.12000/JR20046
shu

Aircraft Wake Vortex Parameter-retrieval System Based on Lidar

DOI: 10.12000/JR20046 CSTR: 32380.14.JR20046

  • College of Electronic Science and Technology, National University of Defense Technology, Changsha 410073, China

Funds:  The National Natural Science Foundation of China (61490649, 61771479, 61625108), Hunan Natural Science Foundation for Distinguished Young Scholars (2018JJ1030)
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    Abstract
  • Aircraft wake are a couple of counter-rotating vortices generated by a flying aircraft, which can be very hazardous to a follower aircraft. The detection of it is regarded as a key issue for airport capacity improvement and air traffic safety management. To this end, we constructed a Lidar detection based aircraft wake vortex parameter-retrieval system, which can be used to retrieve the vortex-core positions and circulations from detected data. Furthermore, dynamics, scattering and Lidar echo simulation modules were built to validate the parameter-retrieval algorithms. Results show that the proposed system performs well and runs steadily, which can serve as a good tool for aircraft wake vortex characterization, prediction, and is very helpful to establish dynamic wake separation in air traffic management.

     

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