Target State Estimation Based on Kalman Filter in Terminal Guidance

Zhong-nan TANG, Yu-jie WANG, Bing-jie ZHU, Zhong-xi HOU

Abstract


In order to settle the requirement of target location and line-of-sight (LOS) rate estimation with multi-angle measurement in terminal guidance process, the state estimation algorithm based on Kalman filter is proposed in this paper. The linearized system model is established, and the extended Kalman filter is used to estimate the position and LOS rate of the target. The simulation results show that this method exhibits high accuracy for position estimation, and it can precisely track the change of LOS angular rate in real time. The algorithm is simple in principle, easy to implement and of high value in practice.

Keywords


Terminal Guidance, Target Localization, LOS Rate Estimation, EKF.


DOI
10.12783/dtcse/ica2019/30759

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