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Computer and Information Science » Artificial Intelligence
Kalman Filter
Edited by Vedran Kordic, ISBN 978-953-307-094-0, Hard cover, 390 pages, Publisher: InTech, Chapters published May 01, 2010 under CC BY-NC-SA 3.0 license
DOI: 10.5772/233 
The Kalman filter has been successfully employed in diverse areas of study over the last 50 years and the chapters in this book review its recent applications. The editors hope the selected works will be useful to 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 filed.
- Chapter 1
Kalman Filter Applications for Traffic Management - Chapter 2 Kalman Filter in Control and Modeling
- Chapter 3 Complex Extended Kalman Filters for Training Recurrent Neural Network Channel Equalizers
- Chapter 4 Kalman Filtering for Sensor Fusion in a Human Tracking System
- Chapter 5 Robust Kalman Filter with Application to State Estimation of a Nuclear Reactor
- Chapter 6 The Kalman Filter in Power Quality – Theory and Applications
- Chapter 7 Application of Kalman Filter to Bad-Data Detection in Power System
- Chapter 8 Extended Kalman Filter Based Speed Sensorless PMSM Control with Load Reconstruction
- Chapter 9 Application of Receding Horizon Kalman Filter to Underwater Navigation Systems
- Chapter 10 Tracking Relative Errors in Internet Coordinate Systems by a Kalman Filter
- Chapter 11 Variants of Kalman Filter for the Synchronization of Chaotic Systems
- Chapter 12 Human Motion Tracking Based on Unscented Kalman Filter in Sports Domain
- Chapter 13 Iterative Forward-Backward Kalman Filtering for Data Recovery in (Multiuser) OFDM Communications
- Chapter 14 Robust Kalman-type Filtering in Positioning Applications
- Chapter 15 Object Visual Tracking Using Window-Matching Techniques and Kalman Filtering
- Chapter 16 Kalman Filtering for NLOS Mitigation and Target Tracking in Indoor Wireless Environment
- Chapter 17 Neural Fuzzy Based Indoor Localization by Extending Kalman Filtering with Propagation Channel Modeling
- Chapter 18 Application of Kalman Filters for the Fault Diagnoses of Aircraft Engine
- Chapter 19 Application of a Strong Tracking Finite-Difference Extended Kalman Filter to Eye Tracking
- Chapter 20 Estimation of Continuous-Time Nonlinear Systems by Using Unscented Kalman Filter