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Research on Dynamic Differential Filtering Method of MPOS Based on Centralized Kalman Filtering

  • Beihang University

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

Abstract

Due to its low cost, small size and good performance, MPOS is an indispensable core component of airborne products. A high-precision airborne MPOS system is proposed in this paper. The composition of the system is introduced, and the mathematical model is established in this paper. Furthermore, the centralized Kalman filter method is used to filter the combination of MIMU and differential GNSS(RTK-GPS). The actual flight test was conducted to verify the proposed algorithm and system. The result shows that in the airplane operating environment with complex disturbances, the propose system can still obtain high positioning accuracy, with a position accuracy of 0.4m, a speed accuracy of 0.02m/s, and a heading accuracy Up to 0.04°, which can met the requirements of higher aircraft differential positioning accuracy, and has a certain degree of adaptability and practical application value.

Original languageEnglish
Title of host publication2022 IEEE 5th International Conference on Electronics Technology, ICET 2022
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages909-914
Number of pages6
ISBN (Electronic)9781665485081
DOIs
StatePublished - 2022
Event5th IEEE International Conference on Electronics Technology, ICET 2022 - Chengdu, China
Duration: 13 May 202216 May 2022

Publication series

Name2022 IEEE 5th International Conference on Electronics Technology, ICET 2022

Conference

Conference5th IEEE International Conference on Electronics Technology, ICET 2022
Country/TerritoryChina
CityChengdu
Period13/05/2216/05/22

Keywords

  • centralized Kalman filtering
  • MIMU
  • MPOS
  • RTK-GPS

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