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. The aim of this book is to provide an overview of recent developments in Kalman filter theory and their applications in engineering and science.

Table of Contents
01 Kalman Filter Applications for Traffic Management
Constantinos Antoniou, Moshe Ben-Akiva and Haris N. Koutsopoulos

02 Kalman Filter in Control and Modeling
Mouna Ghanai and Kheireddine Chafaa

03 Complex Extended Kalman Filters for Training Recurrent Neural Network Channel Equalizers
Coelho Pedro H G and Biondi Neto Luiz

04 Kalman Filtering for Sensor Fusion in a Human Tracking System
Juan A. Corrales, Francisco A. Candelas and Fernando Torres

05 Robust Kalman Filter with Application to State Estimation of a Nuclear Reactor
Zhe Dong

06 The Kalman Filter in Power Quality – Theory and Applications
Mario Gonzalez and Victor Cardenas

07 Application of Kalman Filter to Bad-Data Detection in Power System
Chien-Hung Huang, Kuang-Kong Shih, Chien-Hsing Lee and Yaw-Juen Wang

08 Extended Kalman Filter Based Speed Sensorless PMSM Control with Load Reconstruction
Dariusz Janiszewski

09 Application of Receding Horizon Kalman Filter to Underwater Navigation Systems
Gyungnam Jo and Hang S. Choi

10 Tracking Relative Errors in Internet Coordinate Systems by a Kalman Filter
M.A. Kaafar, L. Mathy, K. Salamatian, C. Barakat, T. Turletti and W. Dabbous

11 Variants of Kalman Filter for the Synchronization of Chaotic Systems
Sadasivan Puthusserypady and Ajeesh P. Kurian

12 Human Motion Tracking Based on Unscented Kalman Filter in Sports Domain
GuoJun Liu and XiangLong Tang

13 Iterative Forward-Backward Kalman Filtering for Data Recovery in (Multiuser) OFDM Communications
Tareq Y. Al-Naffouri, Muhammad S. Sohail and Ahmed A. Quadeer

14 Robust Kalman-type Filtering in Positioning Applications
Tommi Perala

15 Object Visual Tracking using Window-Matching Techniques and Kalman Filtering
Flavio B. Vidal and Victor H. Casanova Alcalde

16 Kalman Filtering for NLOS Mitigation and Target Tracking in Indoor Wireless Environment
Chin-Der Wann

17 Neural Fuzzy Based Indoor Localization by Extending Kalman Filtering with Propagation Channel Modeling
Bing-Fei Wu, Cheng-Lung Jen and Kuei-Chung Chang

18 Application of Kalman Filters for the Fault Diagnoses of Aircraft Engine
Wei Xue and Ying qing Guo

19 Application of a Strong Tracking Finite-Difference Extended Kalman Filter to Eye Tracking
Zutao Zhang and Jiashu Zhang

20 Estimation of Continuous-time Nonlinear Systems by using Unscented Kalman Filter
Min Zheng, Kenji Ikeda and Takao Shimomura