A Kalman Filtering Tutorial for Undergraduate Students
A Kalman Filtering Tutorial for Undergraduate Students
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本科生卡尔曼滤波教程
DOI：
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发表时间：
2017
期刊：
影响因子：
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通讯作者：
Keaton Holappa
中科院分区：
文献类型：
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作者：
M. Rhudy;R. Salguero;Keaton Holappa
本文介绍了一个教程卡尔曼滤波，是专为指导本科生。这项工作背后的想法是，本科生没有足够的统计和理论背景，以充分理解现有的研究论文和教科书在这个主题。相反，这项工作为学生提供了一个介绍性的经验，对这个主题采取了更实际的使用观点，而不是统计推导。学生阅读这篇文章应该能够理解如何应用卡尔曼滤波工具的数学问题，而不需要深入的理论理解统计理论。
This paper presents a tutorial on Kalman filtering that is designed for instruction to undergraduate students. The idea behind this work is that undergraduate students do not have much of the statistical and theoretical background necessary to fully understand the existing research papers and textbooks on this topic. Instead, this work offers an introductory experience for students which takes a more practical usage perspective on the topic, rather than the statistical derivation. Students reading this paper should be able to understand how to apply Kalman filtering tools to mathematical problems without requiring a deep theoretical understanding of statistical theory.