Название: Multisensor Fusion Estimation Theory and Application Автор: Liping Yan, Lu Jiang, Yuanqing Xia Издательство: Springer Год: 2021 Формат: PDF Страниц: 229 Размер: 10.79 МБ Язык: English
This book focuses on the basic theory and methods of multisensor data fusion state estimation and its application. It consists of four parts with 12 chapters. In Part I, the basic framework and methods of multisensor optimal estimation and the basic concepts of Kalman filtering are briefly and systematically introduced. In Part II, the data fusion state estimation algorithms under networked environment are introduced. Part III consists of three chapters, in which the fusion estimation algorithms under event-triggered mechanisms are introduced. Part IV consists of two chapters, in which fusion estimation for systems with non-Gaussian but heavy-tailed noises are introduced. The book is primarily intended for researchers and engineers in the field of data fusion and state estimation. It also benefits for both graduate and undergraduate students who are interested in target tracking, navigation, networked control, etc.
Data Fusion Mathematics: Theory and Practice Название: Data Fusion Mathematics: Theory and Practice Автор: Jitendra R. Raol Издательство: CRC Press Год: 2015 Формат: PDF Размер: 10 Мб Язык:...
Multi-Sensor Image Fusion and Its Applications Название: Multi-Sensor Image Fusion and Its Applications Автор: Edited by Rick S. Blum and Zheng Liu Издательство: Taylor & Francis Group Год:...
Mathematical Statistics Volume II Название: Mathematical Statistics Volume II Автор: Peter J. Bickel (Author), Kjell A. Doksum (Author) Издательство: Chapman and Hall/CRC Год: 2015...
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Multisensor Fusion Estimation Theory and Application 
