Research on the Technology of Information Fusion for the Redundancy Guidance for Aircraft Automatic Carrier Landing

Wenzhe Wang, Mingwei Lv, Yaotong Yang, Shaoqing Zhang, Jinwen Hu

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

Under the background of the application of the redundancy guidance for aircraft automatic carrier landing, aiming at the different degrees of transmission delay caused by the different working environments of multiple sensors, the current period data is predicted and estimated to achieve the time stamp calibration in this paper. The algorithm of Kalman sliding window filter fusion and the algorithm of covariance weighted fusion have been combined to unify the different processing methods in the different application scenarios in this paper. Simulation experiments prove that the algorithm of information fusion which is optimized and improved has the ability of high precision, stability and anti-interference, and can deal with emergencies caused by the external environment effectively.

Original languageEnglish
Title of host publicationProceedings of the 40th Chinese Control Conference, CCC 2021
EditorsChen Peng, Jian Sun
PublisherIEEE Computer Society
Pages4721-4725
Number of pages5
ISBN (Electronic)9789881563804
DOIs
StatePublished - 26 Jul 2021
Event40th Chinese Control Conference, CCC 2021 - Shanghai, China
Duration: 26 Jul 202128 Jul 2021

Publication series

NameChinese Control Conference, CCC
Volume2021-July
ISSN (Print)1934-1768
ISSN (Electronic)2161-2927

Conference

Conference40th Chinese Control Conference, CCC 2021
Country/TerritoryChina
CityShanghai
Period26/07/2128/07/21

Keywords

  • Automatic carrier landing
  • covariance weighted fusion
  • Kalman sliding window filter fusion
  • target state estimation

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