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MBDLM中卡尔曼滤波算法的改进研究
Improvement of Kalman Filter Algorithm in MBDLM
【摘要】 根据多变量Bayesian动态线性模型(简记为MBDLM)在递推过程中出现的方差阵不正定、精底低以及滤波发散等情况进行分析,对原有卡尔曼滤波算法加以改进,给出了比较适用的递推算法。
【Abstract】 This paper mainly studies the updating recurrence algorithms of multivariate Bayesian dynamic linear model (MBDLM).In practice we may fale some ofstacles, such as computation fails to assure symmetry and positive definiteness, low precision and filter divergence. This thesis provides more suitfal updating algorithms according to different proflems on the fasis of original formulas.
- 【文献出处】 山东矿业学院学报 ,JOURNAL OF SHANDONG MINING INSTITUTE , 编辑部邮箱 ,1997年02期
- 【分类号】O211.67
- 【下载频次】57