Study of data fusion algorithms for estimating projectile's attitude

Yong Wang*, Jia Bin Chen, Zhi De Liu, Chun Lei Song

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

To determine the attitude of roll angle of projectile in acute changing situation, a sensor measurement scheme was designed, which includes high and low range configuration. Unscented Kalman filter was applied to estimate the attitude of roll angle of projectile. Furthermore, two sorts of data fusion algorithms, state fusion and measurement fusion algorithm, were designed to improve the measurement precision of roll angle in mid stage flight. Simulation study shows that the measurement data fusion algorithm has high precision and excellent performance in real-time.

Original languageEnglish
Pages (from-to)533-536
Number of pages4
JournalBeijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology
Volume31
Issue number5
Publication statusPublished - May 2011

Keywords

  • Attitude
  • Data fusion
  • Nonlinear filtering
  • Projectile
  • Unscented Kalman filter (UKF)

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Wang, Y., Chen, J. B., Liu, Z. D., & Song, C. L. (2011). Study of data fusion algorithms for estimating projectile's attitude. Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology, 31(5), 533-536.