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6 May 2024 Optimization and simulation study of strapdown seeker line of sight angular rate estimation algorithm
Hongyao Duan, Jing Wang
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Proceedings Volume 13161, Fourth International Conference on Telecommunications, Optics, and Computer Science (TOCS 2023); 1316107 (2024) https://doi.org/10.1117/12.3025742
Event: Fourth International Conference on Telecommunications, Optics and Computer Science (TOCS 2023), 2023, Xi’an, China
Abstract
Currently, the Kalman filter can only be applied to linear systems. The extended Kalman filter and unscented Kalman filter developed from the Kalman filter are widely used in solving nonlinear system filtering after strapdown seeker decoupling. With the development of precision guided weapons, the full strapdown seeker has been widely used in many guided weapons. This paper analyzes the working principle of the strapdown seeker, discusses the existing problems of the strapdown seeker, and further introduces the scheme of line of sight Angle rate extraction, and introduces the line of sight Angle rate estimation model through the relationship between coordinate conversion and angular rate decoupling. Through extended Kalman filter, unscented Kalman filter, The filtering principle is analyzed and the eye Angle rate is estimated and simulated by Matlab. The simulation results show that the accuracy of unscented Kalman filter is higher than that of extended Kalman filter, and the error is smaller. Compared with EKF, UKF is more suitable for filtering estimation of nonlinear system of strapdown seeker. Finally, by analyzing most of the existing filtering algorithms, the prospect of filtering algorithm research is put forward.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Citation Download Citation
Hongyao Duan and Jing Wang "Optimization and simulation study of strapdown seeker line of sight angular rate estimation algorithm", Proc. SPIE 13161, Fourth International Conference on Telecommunications, Optics, and Computer Science (TOCS 2023), 1316107 (6 May 2024); https://doi.org/10.1117/12.3025742
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KEYWORDS
Signal filtering
Tunable filters
Nonlinear filtering
Missiles
Complex systems
Electronic filtering
Computer simulations
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