Download Free Multi Sensor Multi Target Data Fusion Tracking And Indentification Techniques For Guidance And Control Applications Book in PDF and EPUB Free Download. You can read online Multi Sensor Multi Target Data Fusion Tracking And Indentification Techniques For Guidance And Control Applications and write the review.

Resumé på fransk.
The emerging technology of multisensor data fusion has a wide range of applications, both in Department of Defense (DoD) areas and in the civilian arena. The techniques of multisensor data fusion draw from an equally broad range of disciplines, including artificial intelligence, pattern recognition, and statistical estimation. With the rapid evolut
This textbook provides a comprehensive introduction to the theories and techniques of multi-sensor data fusion. It is aimed at advanced undergraduate and first-year graduate students in electrical engineering and computer science, as well as researchers and professional engineers. The book is intended to be self-contained. No previous knowledge of multi-sensor data fusion is assumed, although some familiarity with the basic tools of linear algebra, calculus and simple probability theory is recommended.
The aim of this AGARDograph is to provide a quick overview of practical advances in multi-sensor, multi-target tracking technology and applications. This will provide the general summary of the MS/MTT techniques and technology with emphasis towards practical implementation. Many examples of sensor fusion involve the methodology of merging various track files taken from different sensors. This allows for more consistent, accurate, and reliable tracks than might be possible with any of the individual systems acting alone. Section 1 relates to the important use of sensor fusion prior to establishing a firm track file. By combining raw sensor information, greater discrimination of targets from background may be possible from the augmented body of available information. Tracking and fusion with multiple sensors deals with integration and correlation of data from diverse sources in order to arrive at the best possible situational assessment. In Section II, we present the tutorial on representative data association and filtering techniques, and also address some of the key initiation issues, approaches and track management methodology that simplify and enhance the practical implementation. Section III presents different types of classification algorithms, Bayesian Belief Networks, and Neural Networks covering the complete Automatic Target Recognition process, including fusion, segmentation and classification, that are very promising for real time, or quasi real time systems applications. Section IV covers the handling of Automatic Target Recognition (ATR) test data, deals with an effective tool to support the development of precision guided munitions, and presents a study of target acquisition and sensor cueing in air to air environment, The last section presents several practical examples of MS/MTT applications.
Multisensor Data Fusion: From Algorithms and Architectural Design to Applications covers the contemporary theory and practice of multisensor data fusion, from fundamental concepts to cutting-edge techniques drawn from a broad array of disciplines. Featuring contributions from the world’s leading data fusion researchers and academicians, this authoritative book: Presents state-of-the-art advances in the design of multisensor data fusion algorithms, addressing issues related to the nature, location, and computational ability of the sensors Describes new materials and achievements in optimal fusion and multisensor filters Discusses the advantages and challenges associated with multisensor data fusion, from extended spatial and temporal coverage to imperfection and diversity in sensor technologies Explores the topology, communication structure, computational resources, fusion level, goals, and optimization of multisensor data fusion system architectures Showcases applications of multisensor data fusion in fields such as medicine, transportation's traffic, defense, and navigation Multisensor Data Fusion: From Algorithms and Architectural Design to Applications is a robust collection of modern multisensor data fusion methodologies. The book instills a deeper understanding of the basics of multisensor data fusion as well as a practical knowledge of the problems that can be faced during its execution.
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.