Издательство InTech, 2010, -400 pp.
The seminal Kalman filter paper, entitled A new approach to linear filtering and prediction problems, and published in 1960, reformulated the Wiener problem and proposed a new solution based on state transition, avoiding the stationary limitations of the Wiener filter and giving a more suitable algorithm to be implemented in computers. This paper concludes with a prophetic sentence: . The Wiener problem is shown to be closely connected to other problems in the theory of control. Much remains to be done to exploit these connections.
The Kalman filter has been successfully employed in diverse knowledge areas over the last 50 years and the chapters in the book review its recent applications. We hope the selected works will be useful for readers, contributing to future developments and improvements of this filtering technique.
The aim of this book is to provide an overview of recent developments in Kalman filter theory and their applications in engineering and science. The book is divided into 20 chapters corresponding to recent advances in the field.
Kalman Filter Applications for Traffic Management
Kalman Filter in Control and Modeling
Complex Extended Kalman Filters for Training Recurrent Neural Network Channel Equalizers
Kalman Filtering for Sensor Fusion in a Human Tracking System
Robust Kalman Filter with Application to State Estimation of a Nuclear Reactor
The Kalman Filter in Power Quality – Theory and Applications
Application of Kalman Filter to Bad-Data Detection in Power System
Extended Kalman Filter Based Speed Sensorless PMSM Control with Load Reconstruction
Application of Receding Horizon Kalman Filter to Underwater Navigation Systems
Tracking Relative Errors in Inteet Coordinate Systems by a Kalman Filter
Variants of Kalman Filter for the Synchronization of Chaotic Systems
Human Motion Tracking Based on Unscented Kalman Filter in Sports Domain
Iterative Forward-Backward Kalman Filtering for Data Recovery in (Multiuser) OFDM Communications
Robust Kalman-type Filtering in Positioning Applications
Object Visual Tracking using Window-Matching Techniques and Kalman Filtering
Kalman Filtering for NLOS Mitigation and Target Tracking in Indoor Wireless Environment
Neural Fuzzy Based Indoor Localization by Extending Kalman Filtering with Propagation Channel Modeling
Application of Kalman Filters for the Fault Diagnoses of Aircraft Engine
Application of a Strong Tracking Finite-Difference Extended Kalman Filter to Eye Tracking
Estimation of Continuous-time Nonlinear Systems by using Unscented Kalman Filter
The seminal Kalman filter paper, entitled A new approach to linear filtering and prediction problems, and published in 1960, reformulated the Wiener problem and proposed a new solution based on state transition, avoiding the stationary limitations of the Wiener filter and giving a more suitable algorithm to be implemented in computers. This paper concludes with a prophetic sentence: . The Wiener problem is shown to be closely connected to other problems in the theory of control. Much remains to be done to exploit these connections.
The Kalman filter has been successfully employed in diverse knowledge areas over the last 50 years and the chapters in the book review its recent applications. We hope the selected works will be useful for readers, contributing to future developments and improvements of this filtering technique.
The aim of this book is to provide an overview of recent developments in Kalman filter theory and their applications in engineering and science. The book is divided into 20 chapters corresponding to recent advances in the field.
Kalman Filter Applications for Traffic Management
Kalman Filter in Control and Modeling
Complex Extended Kalman Filters for Training Recurrent Neural Network Channel Equalizers
Kalman Filtering for Sensor Fusion in a Human Tracking System
Robust Kalman Filter with Application to State Estimation of a Nuclear Reactor
The Kalman Filter in Power Quality – Theory and Applications
Application of Kalman Filter to Bad-Data Detection in Power System
Extended Kalman Filter Based Speed Sensorless PMSM Control with Load Reconstruction
Application of Receding Horizon Kalman Filter to Underwater Navigation Systems
Tracking Relative Errors in Inteet Coordinate Systems by a Kalman Filter
Variants of Kalman Filter for the Synchronization of Chaotic Systems
Human Motion Tracking Based on Unscented Kalman Filter in Sports Domain
Iterative Forward-Backward Kalman Filtering for Data Recovery in (Multiuser) OFDM Communications
Robust Kalman-type Filtering in Positioning Applications
Object Visual Tracking using Window-Matching Techniques and Kalman Filtering
Kalman Filtering for NLOS Mitigation and Target Tracking in Indoor Wireless Environment
Neural Fuzzy Based Indoor Localization by Extending Kalman Filtering with Propagation Channel Modeling
Application of Kalman Filters for the Fault Diagnoses of Aircraft Engine
Application of a Strong Tracking Finite-Difference Extended Kalman Filter to Eye Tracking
Estimation of Continuous-time Nonlinear Systems by using Unscented Kalman Filter