Introduction to random signals and applied Kalman filtering : with MATLAB exercises

The Fourth Edition to the Introduction of Random Signals and Applied Kalman Filtering is updated to cover innovations in the Kalman filter algorithm and the proliferation of Kalman filtering applications from the past decade. The text updates both the research advances in variations on the Kalman fi...

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Detalles Bibliográficos
Otros Autores: Brown, Robert Grover Author (author), Hwang, Patrick Y. C Contributor (contributor)
Formato: Libro electrónico
Idioma:Inglés
Publicado: [Place of publication not identified] John Wiley 2012
Edición:4th ed
Materias:
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009629299306719
Descripción
Sumario:The Fourth Edition to the Introduction of Random Signals and Applied Kalman Filtering is updated to cover innovations in the Kalman filter algorithm and the proliferation of Kalman filtering applications from the past decade. The text updates both the research advances in variations on the Kalman filter algorithm and adds a wide range of new application examples. Several chapters include a significant amount of new material on applications such as simultaneous localization and mapping for autonomous vehicles, inertial navigation systems and global satellite navigation systems.
Notas:Bibliographic Level Mode of Issuance: Monograph
Descripción Física:1 online resource (1 v.) : ill
Bibliografía:Includes bibliographical references and index.