基于强跟踪滤波的纯方位寻的导弹制导

doi:10.16039/j.cnki.cn22-1249.2022.11.011

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摘要

针对扩展卡尔曼滤波(EKF)对突变状态的跟踪能力较差。周等人提出了一种强跟踪滤波器(STF)来自适应地获取渐消因子，通过强制残差序列正交来计算渐消因子的最优值，使滤波器保持对突变状态的能力。因此，强跟踪滤波提高了滤波的鲁棒性和估计精度，在各领域都得到了广泛的应用，以纯方位寻的导弹制导系统为例，经过Matlab仿真平台验证,STF比EKF对目标有更好的追踪效果。

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	郑鑫
	文成林

关键词: 目标跟踪强跟踪滤波方位角运动状态

Abstract:

For extended Kalman filter (EKF) , the ability to track mutation status is poor. Zhou et al. proposed a strong tracking filter (STF) to obtain the fading factor adaptively and calculate the optimal value of the fading factor by forcing the residual sequence to be orthogonal. Therefore, the strong tracking filter improves the robustness of the filter and the estimation precision, and is widely used in various fields. Taking the azimuth-only missile guidance system as an example, it is verified by the MATLAB simulation platform, STF has better tracking effect than EKF.

Key words: target tracking strong tracking filtering azimuth motion state

出版日期: 2022-11-25 发布日期: 2022-11-25 整期出版日期: 2022-11-25

:	TJ761
	TN713

引用本文:

郑鑫 , 文成林. 基于强跟踪滤波的纯方位寻的导弹制导 [J]. 吉林化工学院学报, 2022, 39(11): 55-58.
ZHENG Xin, WEN Chenglin. Guidance of Bearings only Homing Missile based on Strong Tracking Filter . Journal of Jilin Institute of Chemical Technology, 2022, 39(11): 55-58.

链接本文:

https://xuebao.jlict.edu.cn/CN/10.16039/j.cnki.cn22-1249.2022.11.011 或 https://xuebao.jlict.edu.cn/CN/Y2022/V39/I11/55

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