Application of Nonlinear Estimators for Tracking Space vehicles: Performance Analysis of Nonlinear Estimators for Tracking Free Fall Body and Launch Vehicle Trajectory - Softcover

Balivada, Leela Kumari; Padma Raju, Koppireddi

 
9783659953262: Application of Nonlinear Estimators for Tracking Space vehicles: Performance Analysis of Nonlinear Estimators for Tracking Free Fall Body and Launch Vehicle Trajectory
Softcover
ISBN 10: 3659953261 ISBN 13: 9783659953262
Verlag: LAP LAMBERT Academic Publishing, 2016

Inhaltsangabe

Estimation Theory has been a fundamental tool in the fields like communications; Signal processing, Ocean and Space research and Biomedical Engineering etc. Many problems in Science and Engineering require estimation of the states of system that change over time, using a sequence of noisy measurements made on that system. For example, estimating the states of an arbitrary satellite, estimating the target motion parameters in the ocean environment and so on. State estimation theory is “one of the best mathematical practices to analyse the variants in the states of the system or process” and this approach is used to generate the optimal estimate of the true state of the system. The state estimation processes may be Linear or Nonlinear based on the dynamics of the system and observation models. In this book, the performance is analysed and compared for various nonlinear state space estimation models using decision based filters (Single model filters) for tracking applications.

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Reseña del editor

Estimation Theory has been a fundamental tool in the fields like communications; Signal processing, Ocean and Space research and Biomedical Engineering etc. Many problems in Science and Engineering require estimation of the states of system that change over time, using a sequence of noisy measurements made on that system. For example, estimating the states of an arbitrary satellite, estimating the target motion parameters in the ocean environment and so on. State estimation theory is “one of the best mathematical practices to analyse the variants in the states of the system or process” and this approach is used to generate the optimal estimate of the true state of the system. The state estimation processes may be Linear or Nonlinear based on the dynamics of the system and observation models. In this book, the performance is analysed and compared for various nonlinear state space estimation models using decision based filters (Single model filters) for tracking applications.

Biografía del autor

Dr.Leela Kumari Balivada received B.Tech from JNTUH in E.C.E, M.Tech from A.U. in R&M and Ph.D from JNTUK,in Communications. She is Assistant Professor of E.C.E department, UCEK, JNTUK, Kakinada. Her research interests include Communications, Signal Processing and Nonlinear state space estimation.

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Verlag
LAP LAMBERT Academic Publishing
Erscheinungsdatum
2016
Sprache
Englisch
ISBN 10 
3659953261
ISBN 13 
9783659953262
Einband
Tapa blanda
Anzahl der Seiten
132
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Verantwortliche Person
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