Kalman Filtering and Information Fusion
This book addresses a key technology for digital information processing: Kalman filtering, which is generally considered to be one of the greatest discoveries of the 20th century. It introduces readers to issues concerning various uncertainties in a singl
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alman Filtering and Information Fusion
Kalman Filtering and Information Fusion
Hongbin Ma Liping Yan Yuanqing Xia Mengyin Fu •
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Kalman Filtering and Information Fusion
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Hongbin Ma School of Automation Beijing Institute of Technology Beijing, China
Liping Yan School of Automation Beijing Institute of Technology Beijing, China
Yuanqing Xia School of Automation Beijing Institute of Technology Beijing, China
Mengyin Fu School of Automation Beijing Institute of Technology Beijing, China
ISBN 978-981-15-0805-9 ISBN 978-981-15-0806-6 https://doi.org/10.1007/978-981-15-0806-6
(eBook)
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Preface
This book will address one key technology, named as Kalman filtering, for digital information processing, which was ever regarded as one of the greatest discoveries in the twentieth century. Kalman filtering, also known as linear-quadratic estimation (LQE), is one of the most successful and widely used estimation methods. Standard Kalman filter can be derived from least squares algorithm, which bridges theoretical science and practical world in a large. The application of Kalman filter is the combination of mathematics and the physical world. It has been used as the k
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