Estimation with Applications to Tracking and Navigation
Theory Algorithms and Software
Published on 22. March 2004
584 pages
978-0-471-46521-8 (ISBN)
Description
Expert coverage of the design and implementation of stateestimation algorithms for tracking and navigation
Estimation with Applications to Tracking and Navigationtreats the estimation of various quantities from inherentlyinaccurate remote observations. It explains state estimator designusing a balanced combination of linear systems, probability, andstatistics.
The authors provide a review of the necessary backgroundmathematical techniques and offer an overview of the basic conceptsin estimation. They then provide detailed treatments of all themajor issues in estimation with a focus on applying thesetechniques to real systems. Other features include:
* Problems that apply theoretical material to real-worldapplications
* In-depth coverage of the Interacting Multiple Model (IMM)estimator
* Companion DynaEst(TM) software for MATLAB(TM) implementation ofKalman filters and IMM estimators
* Design guidelines for tracking filters
Suitable for graduate engineering students and engineers workingin remote sensors and tracking, Estimation with Applications toTracking and Navigation provides expert coverage of thisimportant area.
More details
Other editions
Additional editions
Y. Bar-Shalom
Estimation with Applications to Tracking and Navigation
Software
01/2002
Wiley
€234.51
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Yaakov Bar-Shalom | Xiao-Rong Li | Thiagalingam Kirubarajan
Estimation with Applications to Tracking and Navigation
Theory Algorthims and Software
Book
07/2001
Wiley
€169.50
Shipment within 10-20 days
Persons
YAAKOV BAR-SHALOM, PhD, is Distinguished Professor in theDepartment of Electrical and Computer Engineering and Director ofthe Estimation and Signal Processing Lab at the University ofConnecticut in Storrs.
X. RONG LI, PhD, is Associate Professor in the Department ofElectrical Engineering at the University of New Orleans.
THIAGALINGAM KIRUBARAJAN, PhD, is Assistant Research Professor inthe Department of Electrical and Computer Engineering and AssociateDirector of the Estimation and Signal Processing Lab at theUniversity of Connecticut in Storrs.
Content
Preface.
Acronyms.
Mathematical Notations.
Introduction.
Basic Concepts in Estimation.
Linear Estimation in Static Systems.
Linear Dynamic Systems with Random Inputs.
State Estimation in Discrete-Time Linear Dynamic Systems.
Estimation for Kinematic Models.
Computational Aspects of Estimation.
Extensions of Discrete-Time Linear Estimation.
Continuous-Time Linear State Estimation.
State Estimation for Nonlinear Dynamic Systems.
Adaptive Estimation and Maneuvering Targets.
Introduction to Navigation Applications.
Bibliography.
Index.
