摘要
可观测性和可观测度分析是确定动态系统卡尔曼滤波效果的重要环节.本文首次提出了一种时变动态系统可观测性矩阵的奇异值分解分析方法,应用于捷联惯导系统初始对准过程中系统状态的可观测度分析取得显著效果,该方法为初始对准中载体最佳机动方案选择提供了依据.计算机仿真结果表明了该方法的有效性.
Observability and degree of observability analysis of a dynamic system is an essential procedure to determine the efficiency of a Kalman filter designed to estimate the state of that system. A singular value decomposition method of observability matrix of a dynamic system is proposed.And the good effect is achieved for analyzing degree of observability of strapdown inertial navigation systems (SINS) in initial alignment stage. The choice of optimal maneuvers trajectory of the carrier can be determined in initial alignment stage for the best efficiency of Kalman filters by this method. The computer simulation results validate the efficiency of this analysis method.
出处
《东南大学学报(自然科学版)》
EI
CAS
CSCD
1997年第6期6-11,共6页
Journal of Southeast University:Natural Science Edition
基金
国防科工委九五重点预研项目资助
关键词
捷联惯导
奇异值分解
可观测度
初始对准
strapdown inertial navigation system
singular value decomposition
degree of observability
initial alignment