Research on guidance information extraction technology of strap-down seeker based on adaptive cubature Kalman filter

Tianle Chen, Cheng Zhang*, Tong Sun, Wenwen Zhang

*Corresponding author for this work

Research output: Contribution to journalConference articlepeer-review

2 Citations (Scopus)

Abstract

In comparison to the traditional platform seeker, strap-down seeker, which is firmly connected with rocket-propelled vehicle, has a lot of strength in a smaller size, a simpler structure, and a lower cost. However, because it is fixed on the rocket-propelled vehicle, inertial line-of-sight(LOS) angular velocity demanded by guidance system could not be directly obtained during the rocket-propelled vehicle flight. In this paper, according to the coordinate transformation relationship, the inertial LOS angular velocity decoupling model is established. Aiming at measurement error characteristics of a seeker, a guidance information extraction algorithm which is on basis of the adaptive cubature Kalman filter is studied, and the digital simulation experiment is carried out in combination with the engineering practice. The simulation data demonstrate that the suggested algorithm has a significant effect on improving the filtering estimation stability and accuracy of guidance information extraction and guaranteeing the accuracy of rocket-propelled vehicle hits.

Original languageEnglish
Article number012018
JournalJournal of Physics: Conference Series
Volume2558
Issue number1
DOIs
Publication statusPublished - 2023
Event2023 6th International Conference on Advanced Algorithms and Control Engineering, ICAACE 2023 - Virtual, Online, China
Duration: 24 Feb 202326 Feb 2023

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