Multisensor Fusion Estimation Theory and Application Hardback - 2021
by Liping Yan; Lu Jiang; Yuanqing Xia
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- Hardback
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Details
- Title Multisensor Fusion Estimation Theory and Application
- Author Liping Yan; Lu Jiang; Yuanqing Xia
- Binding Hardback
- Condition New
- Pages 227
- Volumes 1
- Language ENG
- Publisher Springer
- Publication date 1st ed. 2021 edition NO-PA1
- Illustrated Yes
- Features Illustrated
- Bookseller's Inventory # 6389263446
- ISBN 9789811594250 / 9811594252
- Weight 1.16 lbs (0.53 kg)
- Dimensions 9.21 x 6.14 x 0.63 in (23.39 x 15.60 x 1.60 cm)
- Category Technology & Industrial Arts
- Quantity available 4
About Cold Books New York, United States
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From the publisher
From the rear cover
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.