Optimal Estimation and Information Fusion: Theory and Algorithms
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Beschreibung
This book mainly focuses on the theme of optimizing estimation and sensor information fusion processing for stochastic dynamic systems. It summarizes the basic theories and methods of optimizing estimation and information fusion direction, including stochastic system models, optimal estimation methods, linear state estimation, nonlinear state estimation, information fusion models, structures, data processing methods, data association based on multi-source data estimation, and other aspects.
On the basis of years of teaching practice, the author optimizes the content layout, focuses on the basic theoretical methods of the subject, emphasizes the systematic nature of the theory and the rigor of expression, selectively cuts out some outdated content, and introduces some important and widely accepted new developments in the subject.
On the other hand, this book also serves as a reference material for technical developers in this field.
This book mainly focuses on the theme of optimizing estimation and sensor information fusion processing for stochastic dynamic systems. It summarizes the basic theories and methods of optimizing estimation and information fusion direction, including stochastic system models, optimal estimation methods, linear state estimation, nonlinear state estimation, information fusion models, structures, data processing methods, data association based on multi-source data estimation, and other aspects.
On the basis of years of teaching practice, the author optimizes the content layout, focuses on the basic theoretical methods of the subject, emphasizes the systematic nature of the theory and the rigor of expression, selectively cuts out some outdated content, and introduces some important and widely accepted new developments in the subject.
On the other hand, this book also serves as a reference material for technical developers in this field.
Provides basic theories and methods for optimal estimation of stochastic systems and multi-sensor information fusion Provides a complete derivation process for beginners on the basic methods of optimal estimation and information fusion Covers the theoretical basis and progress of stochastic system estimation
Autor*in
Ming Lei
Themen in »Optimal Estimation and Information Fusion: Theory and Algorithms«
Stochastic Estimation Optimized Filtering Multi-sensor Information Fusion Maneuvering Target Tracking Linear/Non-linear System-based Optimal Data Processing