Line-of-Sight Rate Estimation Based on Attitude Dynamics for Strap-down Seeker

Xiao Yingchao, Zhou Jun, Zhao Bin

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

4 Scopus citations

Abstract

Aiming at the problem that the strap-down seeker can not directly get the guidance information such as line-of-sight (LOS) angular rate, a novel LOS angular rate estimation algorithm based on attitude dynamics is proposed in this paper. Firstly, the LOS decoupling formula is derived based on the relationship of coordinate transformation. Then the state equation and observation equation are established by employing the attitude dynamics. Finally, the Unscented Kalman Filter (UKF) is utilized to estimate the LOS angular rate. Compared with the algorithm without using the attitude dynamics, simulation results imply that the estimation error of LOS elevation angle and azimuth angle is reduced to 74.8% and 75.8%, respectively, while the estimation error of LOS elevation angular rate and azimuth angular rate is reduced to 92% and 94%, respectively, which prove the effectiveness of the method.

Original languageEnglish
Title of host publicationProceedings of the 31st Chinese Control and Decision Conference, CCDC 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages2078-2083
Number of pages6
ISBN (Electronic)9781728101057
DOIs
StatePublished - Jun 2019
Event31st Chinese Control and Decision Conference, CCDC 2019 - Nanchang, China
Duration: 3 Jun 20195 Jun 2019

Publication series

NameProceedings of the 31st Chinese Control and Decision Conference, CCDC 2019

Conference

Conference31st Chinese Control and Decision Conference, CCDC 2019
Country/TerritoryChina
CityNanchang
Period3/06/195/06/19

Keywords

  • Attitude Dynamics
  • LOS Rate Estimation
  • Strap-down Seeker
  • Unscented Kalman Filter

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