Optimal Quantization And Fusion In Multi Sensor Systems For The Detection Of Weak Signals In Dependent Noise PDF Download

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Handbook of Multisensor Data Fusion

Handbook of Multisensor Data Fusion
Author: Martin Liggins II
Publisher: CRC Press
Total Pages: 872
Release: 2017-01-06
Genre: Technology & Engineering
ISBN: 1420053094

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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.


Multisensor Fusion Estimation Theory and Application

Multisensor Fusion Estimation Theory and Application
Author: Liping Yan
Publisher: Springer Nature
Total Pages: 229
Release: 2020-11-11
Genre: Technology & Engineering
ISBN: 9811594260

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This book focuses on the basic theory and methods of multisensor data fusion state estimation and its application. It consists of four parts with 12 chapters. In Part I, the basic framework and methods of multisensor optimal estimation and the basic concepts of Kalman filtering are briefly and systematically introduced. In Part II, the data fusion state estimation algorithms under networked environment are introduced. Part III consists of three chapters, in which the fusion estimation algorithms under event-triggered mechanisms are introduced. Part IV consists of two chapters, in which fusion estimation for systems with non-Gaussian but heavy-tailed noises are introduced. The book is primarily intended for researchers and engineers in the field of data fusion and state estimation. It also benefits for both graduate and undergraduate students who are interested in target tracking, navigation, networked control, etc.


Advances in Multi-Sensor Information Fusion: Theory and Applications 2017

Advances in Multi-Sensor Information Fusion: Theory and Applications 2017
Author: Xue-Bo Jin
Publisher: MDPI
Total Pages: 569
Release: 2018-06-26
Genre: Technology & Engineering
ISBN: 3038429333

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This book is a printed edition of the Special Issue "Advances in Multi-Sensor Information Fusion: Theory and Applications 2017" that was published in Sensors


Multisensor Fusion

Multisensor Fusion
Author: Anthony K. Hyder
Publisher: Springer Science & Business Media
Total Pages: 929
Release: 2012-12-06
Genre: Computers
ISBN: 9401005567

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For some time, all branches of the military have used a wide range of sensors to provide data for many purposes, including surveillance, reconnoitring, target detection and battle damage assessment. Many nations have also attempted to utilise these sensors for civilian applications, such as crop monitoring, agricultural disease tracking, environmental diagnostics, cartography, ocean temperature profiling, urban planning, and the characterisation of the Ozone Hole above Antarctica. The recent convergence of several important technologies has made possible new, advanced, high performance, sensor based applications relying on the near-simultaneous fusion of data from an ensemble of different types of sensors. The book examines the underlying principles of sensor operation and data fusion, the techniques and technologies that enable the process, including the operation of 'fusion engines'. Fundamental theory and the enabling technologies of data fusion are presented in a systematic and accessible manner. Applications are discussed in the areas of medicine, meteorology, BDA and targeting, transportation, cartography, the environment, agriculture, and manufacturing and process control.


Optimum Quantization for Memoryless Detection in M-Dependent Noise

Optimum Quantization for Memoryless Detection in M-Dependent Noise
Author: H. V. Poor
Publisher:
Total Pages: 9
Release: 1978
Genre:
ISBN:

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The problem of optimum data quantization for memoryless signal-detection systems operating in m-dependent noise environments is considered. The case where quantizer breakpoints are fixed or predetermined is considered first, and, for this case, existing results for general (unquantized) memoryless detection are modified to yield necessary and sufficient conditions for quantizer optimization in terms of asymptotic efficiency. Necessary conditions are also established for the optimum (asymptotically efficient) selection of quantizer breakpoints, and expressions are presented for the comparison of quantizer-detector performance on the basis of asymptotic relative efficiency. (Author).