Roll Attitude Measurement Technique Based on GPS Signal Power

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

3 Citations (Scopus)

Abstract

GPS carrier phase and signal power measurements are the two main techniques used for attitude measurement. In order to measure the roll angle and roll angular velocity of a spinning carrier, a roll attitude measurement technique based on signal power information of the GPS receiver antenna is proposed. The system model of the roll attitude measurement based on GPS signal power is established by using the constant acceleration(CA) model, and an unscented Kalman filter(UKF) is designed for the optimal estimation of the measurement model, which can reduce the effect of noise and achieve the purpose of measuring the roll angle and roll angular velocity. The feasibility of the roll attitude measurement method based on GPS signal power is verified by simulation.

Original languageEnglish
Title of host publicationProceedings of the 2019 IEEE International Conference on Unmanned Systems, ICUS 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages280-284
Number of pages5
ISBN (Electronic)9781728137926
DOIs
Publication statusPublished - Oct 2019
Event2019 IEEE International Conference on Unmanned Systems, ICUS 2019 - Beijing, China
Duration: 17 Oct 201919 Oct 2019

Publication series

NameProceedings of the 2019 IEEE International Conference on Unmanned Systems, ICUS 2019

Conference

Conference2019 IEEE International Conference on Unmanned Systems, ICUS 2019
Country/TerritoryChina
CityBeijing
Period17/10/1919/10/19

Keywords

  • CA model
  • GPS
  • UKF
  • attitude measurement
  • signal power

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Liu, Y., Li, H., & Du, X. (2019). Roll Attitude Measurement Technique Based on GPS Signal Power. In Proceedings of the 2019 IEEE International Conference on Unmanned Systems, ICUS 2019 (pp. 280-284). Article 8995938 (Proceedings of the 2019 IEEE International Conference on Unmanned Systems, ICUS 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICUS48101.2019.8995938