Introduction to Random Signals and Applied Kalman Filtering b... - 9780470609699

Introduction to Random Signals and Applied Kalman FilteringWith MATLAB Exercises\nAuthor(s): Robert Grover Brown, Patrick Y. C. Hwang\nFormat: Hardback\nPublisher: John Wiley & Sons Inc, United States\nImprint: John Wiley & Sons Inc\nISBN-13: 9780470609699, 978-0470609699\nSynopsis\nIntroduction to Random Signals and Applied Kalman Filtering: With MATLAB Exercises, 4th Edition\n\n Advances in computers and personal navigation systems have greatly expanded the applications of Kalman filters. A Kalman filter uses information about noise and system dynamics to reduce uncertainty from noisy measurements. Common applications of Kalman filters include such fast-growing fields as autopilot systems, battery state of charge (SoC) estimation, brain-computer interface, dynamic positioning, inertial guidance systems, radar tracking, and satellite navigation systems.\n\n Brown and Hwang's bestselling textbook introduces the theory and applications of Kalman filters for senior undergraduat.