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Dual-channel LIDAR searching, positioning, tracking and landing system for rotorcraft from ships at sea

  • Tao Zeng
  • , Hua Wang
  • , Xiucong Sun*
  • , Hui Li
  • , Zhen Lu
  • , Feifei Tong
  • , Hao Cheng
  • , Canlun Zheng
  • , Mengying Zhang
  • *Corresponding author for this work
  • Beihang University
  • Xi’an Changfeng Electromechanical Institute
  • Henan Costar Group Co. Ltd
  • CAS - Institute of Electronics

Research output: Contribution to journalArticlepeer-review

Abstract

To address the shortcomings of existing methods for rotorcraft searching, positioning, tracking and landing on a ship at sea, a dual-channel LIDAR searching, positioning, tracking and landing system (DCLSPTLS) is proposed in this paper, which utilises the multi-pulse laser echoes accumulation method and the physical phenomenon that the laser reflectivity of the ship deck in the near-infrared band is four orders of magnitude higher than that of the sea surface. The DCLSPTLS searching and positioning model, tracking model and landing model are established, respectively. The searching and positioning model can provide estimates of the azimuth angle, the distance of the ship relative to the rotorcraft and the ship's course. With the above parameters as inputs, the total tracking time and the direction of the rotorcraft tracking speed can be obtained by using the tracking model. The landing model can calculate the pitch and the roll angles of the ship's deck relative to the rotorcraft by using the least squares method and the laser irradiation coordinates. The simulation shows that the DCLSPTLS can realise the functions of rotorcraft searching, positioning, tracking and landing by using the above parameters. To verify the effectiveness of the DCLSPTLS, a functional test is performed using a rotorcraft and a model ship on a lake. The test results are consistent with the results of the simulation.

Original languageEnglish
Pages (from-to)901-927
Number of pages27
JournalJournal of Navigation
Volume75
Issue number4
DOIs
StatePublished - 1 Jul 2022

Keywords

  • dual-channel LIDAR
  • landing
  • positioning
  • searching
  • tracking

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