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Motion Track Extraction Based on Empirical Mode Decomposition of Endpoint Effect Suppression for Double-Rotor Drone

Ziji MA, Kehuang XU, Binghang ZHOU, Jiawei ZHANG, Xun SHAO

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Summary :

Double-rotor drone shows totally different flight performance. Extracting and analyzing its motion track is very helpful to improve its control approaches to achieve a robust and flight attitude. A novel EMD of endpoint effect suppression is proposed in this paper to accurately extract the DR drone's motion track. The proposed algorithm can effectively suppress the endpoint effect with a complex matching of both position and slope of the record of flight data from sensors. The computer simulation and experiment results both have demonstrated the proposed method's effectiveness and the feasibility of the designed DR drone.

Publication
IEICE TRANSACTIONS on Communications Vol.E102-B No.10 pp.1967-1974
Publication Date
2019/10/01
Publicized
2019/05/15
Online ISSN
1745-1345
DOI
10.1587/transcom.2018DRP0029
Type of Manuscript
Special Section PAPER (Special Section on Exploring Drone for Mobile Sensing, Coverage and Communications: Theory and Applications)
Category

Authors

Ziji MA
  Hunan University
Kehuang XU
  Hunan University
Binghang ZHOU
  Hunan University
Jiawei ZHANG
  Hunan University
Xun SHAO
  Kitami Institute of Technology

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