Название: Intuitive Understanding of Kalman Filtering with MATLAB Автор: Armando Barreto, Malek Adjouadi
Издательство: CRC Press
Год: 2021
Страниц: 248
Язык: английский
Формат: pdf (true)
Размер: 10.1 MB
The emergence of affordable micro sensors, such as MEMS Inertial Measurement Systems, are applied in embedded systems and Internet-of-Things devices. This has brought techniques such as Kalman Filtering, which are capable of combining information from multiple sensors or sources, to the interest of students and hobbyists. This book will explore the necessary background concepts, helping a much wider audience of readers develop an understanding and intuition that will enable them to follow the explanation for the Kalman Filtering algorithm.
The Kalman Filter, envisioned by Dr. Rudolf E. Kalman (1930–2016) provides an efective mechanism to estimate the state of a dynamic system when a model is available to sequentially predict the state and sequential measurements are also available. Tis is a common kind of situation in the study of many practical dynamical systems, in diverse felds.
Tis book is our efort to provide that wider audience with a presentation of the Kalman Filter that is not a mere “cookbook” list of steps (which may result in a sub-optimal use of this important tool), while not requiring the reader to wade through several formal proofs to accomplish a strict derivation of the algorithm.
Key Features:
- Provides intuitive understanding of Kalman Filtering approach
- Succinct overview of concepts to enhance accessibility and appeal to a wide audience
- Interactive learning techniques with code examples
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