卡尔曼滤波器
集合卡尔曼滤波器
贝叶斯概率
高斯分布
算法
均方误差
跟踪(教育)
计算机科学
平方根
数学
扩展卡尔曼滤波器
统计
人工智能
物理
量子力学
教育学
心理学
几何学
作者
Yulong Huang,Yonggang Zhang,Ning Li,Zhen Wu,Jonathon A. Chambers
出处
期刊:IEEE Transactions on Aerospace and Electronic Systems
[Institute of Electrical and Electronics Engineers]
日期:2017-06-01
卷期号:53 (3): 1545-1554
被引量:278
标识
DOI:10.1109/taes.2017.2651684
摘要
A novel robust Student's t-based Kalman filter is proposed by using the variational Bayesian approach, which provides a Gaussian approximation to the posterior distribution. Simulation results for a manoeuvring target tracking example illustrate that the proposed filter has smaller root mean square error and bias than existing filters.
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