Liggins II / Hall / Llinas Handbook of Multisensor Data Fusion

Theory and Practice, Second Edition
2. Auflage 2008
ISBN: 978-1-4200-5309-8
Verlag: Taylor & Francis
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 870 Seiten

Reihe: Electrical Engineering & Applied Signal Processing Series

In the years since the bestselling first edition, fusion research and applications have adapted to service-oriented architectures and pushed the boundaries of situational modeling in human behavior, expanding into fields such as chemical and biological sensing, crisis management, and intelligent buildings.
Handbook of Multisensor Data Fusion: Theory and Practice, Second Edition represents the most current concepts and theory as information fusion expands into the realm of network-centric architectures. It reflects new developments in distributed and detection fusion, situation and impact awareness in complex applications, and human cognitive concepts. With contributions from the world’s leading fusion experts, this second edition expands to 31 chapters covering the fundamental theory and cutting-edge developments that are driving this field.
New to the Second Edition—
· Applications in electromagnetic systems and chemical and biological sensors
· Army command and combat identification techniques
· Techniques for automated reasoning
· Advances in Kalman filtering
· Fusion in a network centric environment
· Service-oriented architecture concepts
· Intelligent agents for improved decision making
· Commercial off-the-shelf (COTS) software tools
From basic information to state-of-the-art theories, this second edition continues to be a unique, comprehensive, and up-to-date resource for data fusion systems designers.

Zielgruppe

Scientists, engineers and technicians involved with signal processing, network centric development, computational sciences, and data mining, and students in electrical engineering and related fields

Autoren/Hrsg.

Liggins II, Martin

Hall, David

Llinas, James

Fachgebiete

• Technische Wissenschaften Verfahrenstechnik | Chemieingenieurwesen | Biotechnologie Fertigungsverfahren der Präzisionsgeräte

Inhaltsverzeichnis

Multisensor Data Fusion
D. L. Hall and J. Llinas
Data Fusion Perspectives and Its Role in Information Processing
O. Kessler and F. White
Revisions to the JDL Data Fusion Model
A. N. Steinberg and C. L. Bowman
Introduction to the Algorithms of Data Association in Multiple-Target Tracking
J. K. Uhlmann
The Principles and Practice of Image and Spatial Data Fusion
E. Waltz and T. Waltz
Data Registration
R. R. Brooks and L. Grewe
Data Fusion Automation: A Top-Down Perspective
R. Antony
Overview of Distributed Decision Fusion
M. E. Liggins
Introduction to Particle Filtering: The Next Stage in Tracking
M. E. Liggins and K-C. Chang
Target Tracking Using Probabilistic Data Association-Based
Techniques with Applications to Sonar, Radar, and EO Sensors
T. Kirubarajan and Y. Bar-Shalom
An Introduction to the Combinatorics of Optimal and
Approximate Data Association
J. K. Uhlmann
A Bayesian Approach to Multiple-Target Tracking
L. D. Stone
Data Association Using Multiple-Frame Assignments
A. B. Poore, S. Lu, and B. J. Suchomel
General Decentralized Data Fusion with Covariance Intersection
S. Julier and J. K. Uhlmann
Data Fusion in Nonlinear Systems
S. Julier and J. K. Uhlmann
Random Set Theory for Multisource-Multitarget Information Fusion
R. Mahler
Distributed Fusion Architectures, Algorithms, and Performance within a Network-Centric Architecture
M. E. Liggins and K-C. Chang
Foundations of Situation and Threat Assessment
A. N. Steinberg
An Introduction to Level 5 Fusion: The Role of the User
E. Blasch
Perspectives on the Human Side of Data Fusion: Prospects for
Improved Effectiveness using Advanced Human-Computer Interfaces
D. L. Hall, C. M. Hall, and S. A. H. McMullen
Requirements Derivation for Data Fusion Systems
E. Waltz and D. L. Hall
A Systems Engineering Approach for Implementing
Data Fusion Systems
C. L. Bowman and A. N. Steinberg
Studies and Analyses within Project Correlation: An In-Depth
Assessment of Correlation Problems and Solution Techniques
J. Llinas, Capt. L. McConnell, C. L. Bowman, D. L. Hall, and P.
Applegate
Data Management Support to Tactical Data Fusion
R. Antony
Assessing the Performance of Multisensor Fusion Processes
J. Llinas
A Survey of COTS Software for Multisensor Data Fusion
S. A. Hall McMullen, R. R. Sherry, and S. Miglani
A Survey of Multisensor Data Fusion Systems
M. L. Nichols
Data Fusion for Developing Predictive Diagnostics for
Electromechanical Systems
C. S. Byington and A. K. Garga
Adapting Data Fusion to Chemical and Biological Sensors
D. C. Swanson
Fusion of Ground and Satellite Data via the Army Battle Command
System
S. Aungst, M. Campbell, J. Kuhns, D. Beyerle, T. Bacastow, and J. Knox
Developing Information Fusion Methods for Combat Identification
T. M. Schuck, J. Bockett Hunter, and D. D. Wilson