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The Inertial LOS Reconstruction Algorithm for Image Strap-down Seeker Considering Scale Factor Error
Received date: 2021-08-04
Online published: 2025-02-21
As one of the most important development direction of low-cost precision guided weapons, image strap-down guidance research attracts a lot of attention. The LOS angular measured by strap-down seeker can be used in proportional guidance system only after decoupling and filtering. However, the inherence scale error of inertial gyro and seeker bring great challenge to the extraction of the inertial LOS information. In this paper, an LOS reconstruction method for strap-down seeker based on unscented Kalman filter (UKF) was proposed, which online decoupled the LOS information and identified the seeker scale factor error meanwhile. Simulation showed that the method can effectively filter the influence of scale error on the system and estimate the inertial Los rate smoothly and accurately. As a result, the stability of the control system was ensured and hit accuracy was improved.
WANG Long , WANG Xiao , LI Chunwen , JIAO Yingjie , TAO Guohui . The Inertial LOS Reconstruction Algorithm for Image Strap-down Seeker Considering Scale Factor Error[J]. Journal of Projectiles, Rockets, Missiles and Guidance, 2022 , 42(1) : 86 -91 . DOI: 10.15892/j.cnki.djzdxb.2022.01.016
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