EXPERT COVERAGE OF THE DESIGN AND IMPLEMENTATION OF STATE ESTIMATION ALGORITHMS FOR TRACKING AND NAVIGATION ESTIMATION WITH APPLICATIONS TO TRACKING AND NAVIGATION TREATS THE ESTIMATION OF VARIOUS QUANTITIES FROM INHERENTLY INACCURATE REMOTE OBSERVATIONS. IT EXPLAINS STATE ESTIMATOR DESIGN USING A BALANCED COMBINATION OF LINEAR SYSTEMS, PROBABILITY, AND STATISTICS. THE AUTHORS PROVIDE A REVIEW OF THE NECESSARY BACKGROUND MATHEMATICAL TECHNIQUES AND OFFER AN OVERVIEW OF THE BASIC CONCEPTS IN ESTIMATION. THEY THEN PROVIDE DETAILED TREATMENTS OF ALL THE MAJOR ISSUES IN ESTIMATION WITH A FOCUS ON APPLYING THESE TECHNIQUES TO REAL SYSTEMS. OTHER FEATURES INCLUDE: PROBLEMS THAT APPLY THEORETICAL MATERIAL TO REAL–WORLD APPLICATIONS IN–DEPTH COVERAGE OF THE INTERACTING MULTIPLE MODEL (IMM) ESTIMATOR COMPANION DYNAEST(TM) SOFTWARE FOR MATLAB(TM) IMPLEMENTATION OF KALMAN FILTERS AND IMM ESTIMATORS DESIGN GUIDELINES FOR TRACKING FILTERS SUITABLE FOR GRADUATE ENGINEERING STUDENTS AND ENGINEERS WORKING IN REMOTE SENSORS AND TRACKING, ESTIMATION WITH APPLICATIONS TO TRACKING AND NAVIGATION PROVIDES EXPERT COVERAGE OF THIS IMPORTANT AREA.
"Sinopsis" puede pertenecer a otra edición de este libro.
Reseña del editor:
Expert coverage of the design and implementation of state estimation algorithms for tracking and navigation Estimation with Applications to Tracking and Navigation treats the estimation of various quantities from inherently inaccurate remote observations. It explains state estimator design using a balanced combination of linear systems, probability, and statistics. The authors provide a review of the necessary background mathematical techniques and offer an overview of the basic concepts in estimation. They then provide detailed treatments of all the major issues in estimation with a focus on applying these techniques to real systems. Other features include:* Problems that apply theoretical material to real-world applications* In-depth coverage of the Interacting Multiple Model (IMM) estimator* Companion DynaEst(TM) software for MATLAB(TM) implementation of Kalman filters and IMM estimators* Design guidelines for tracking filters Suitable for graduate engineering students and engineers working in remote sensors and tracking, Estimation with Applications to Tracking and Navigation provides expert coverage of this important area.
Biografía del autor:
YAAKOV BAR-SHALOM, PhD, is Distinguished Professor in the Department of Electrical and Computer Engineering and Director of the Estimation and Signal Processing Lab at the University of Connecticut in Storrs. X. RONG LI, PhD, is Associate Professor in the Department of Electrical Engineering at the University of New Orleans. THIAGALINGAM KIRUBARAJAN, PhD, is Assistant Research Professor in the Department of Electrical and Computer Engineering and Associate Director of the Estimation and Signal Processing Lab at the University of Connecticut in Storrs.
"Sobre este título" puede pertenecer a otra edición de este libro.
- EditorialWiley-Interscience
- Año de publicación2001
- ISBN 10 047141655X
- ISBN 13 9780471416555
- EncuadernaciónTapa dura
- Número de páginas592
-
Valoración
-
4,43
14 calificaciones proporcionadas por
Goodreads