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

Balivada, Leela Kumari/ Padma Raju, Koppireddi

ISBN 10: 3659953261 / ISBN 13: 9783659953262

Published by LAP LAMBERT Academic Publishing, 2016

About this Item

132 pages. 8.66x5.91x0.30 inches. In Stock.

Seller Inventory # 3659953261

Bibliographic Details

• Title: Application of Nonlinear Estimators for Tracking Space vehicles: Performance Analysis of Nonlinear Estimators for Tracking Free Fall Body and Launch Vehicle Trajectory
• Publisher: LAP LAMBERT Academic Publishing
• Publication Date: 2016
• Language: English
• ISBN 10: 3659953261
• ISBN 13: 9783659953262
• Binding: Paperback
• Condition: Brand New
• Weight: 0.25 kilograms

About this title

Synopsis

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.

About the Author

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.