Electronic Resource

Multisensor Fusion Estimation Theory and Application

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Penilaian

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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.

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Availability

Inventory Code	Barcode	Call Number	Location	Status
1908000882	EB0001474	621.382 Yan m	Central Library (OPAC)	Available

Detail Information

Series Title

-

Call Number

621.382 Yan m

Publisher

Singapore : Springer Singapore., 2021

Collation

XVII, 227p.:Ill

Language

English

ISBN/ISSN

978-981-15-9426-7

Classification

621.382

Content Type

Ebook

Media Type

-

Carrier Type

online resource

Edition

1

Subject(s)

Signal Processing

Specific Detail Info

-

Statement of Responsibility

BRF

Other version/related

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