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基于广义Kalman滤波算法的弹道参数辨识 被引量:2

Identification of Trajectory Parameters Based on Generalized Kalman Filtering Algorithm
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摘要 弹道修正是提高弹箭射击精度的实用有效方法,通过对弹道修正理论和方法的研究,提出了一种基于广义卡尔曼(Kalman)滤波算法的弹道辨识及仿真技术.根据弹道质心运动模型,以灵敏度矩阵为核心构建了辨识方法,利用MALTAB进行仿真模拟,结果表明此方法的辨识精度较高,收敛性好. The ballistic correction is an effective method for improving the accuracy of the missles firing. Through studying the ballistic correction theory and method, the technology of trajectory identification and simulation based on the generalized Kalman filtering algorithm is presented. According to the model of the trajectory centroid movement and the sensitivity matrix, the identification method is realized. The simulation results with MATLAB show that the identification accuracy and convergence can be improved.
出处 《沈阳理工大学学报》 CAS 2008年第3期1-4,共4页 Journal of Shenyang Ligong University
关键词 弹道参数辨识 广义Kalman滤波 灵敏度矩阵 trajectory parameters identification generalized Kalman filtering sensitivity matrix
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参考文献5

  • 1石书齐,孙鉴.系统辨识学[M].北京:国防工业出版社,2000.
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