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Sensor management in ISR

This innovative resource is the first book that partitions the intelligence, surveillance and reconnaissance (ISR) sensor management process into partitioned functions that can be studied and optimized independently of each other through defined conceptual interfaces. The book explains the differenc...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Hintz, Kenneth J. (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Norwood, MA Artech House [2020]
Colección:Artech House intelligence and information operations series.
Temas:
Acceso en línea:Texto completo

MARC

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245 1 0 |a Sensor management in ISR  |c Kenneth J. Hintz 
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264 4 |c ©2020 
300 |a 1 online resource (xiv, 219 pages) 
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490 1 |a Artech House intelligence and information operations series 
504 |a Includes bibliographical references. 
505 8 |a Sensor Management in ISR -- Contents -- Preface -- 1 Introduction to Sensor Management -- 1.1 Motivation for Sensor Management in Intelligence, Surveillence, and Reconaissance -- 1.2 Sensor Management Versus Data Fusion -- 1.3 Sensor Management Is Motivated by the Need to Inform Situation Assessment -- 1.4 Sensor Management -- 1.5 Sensor Scheduling, Sensor Management, and Mission Management -- 1.6 Optimum Planning Versus Optimum Scheduling -- 1.7 Sensor Suite Viewed as a Constrained Communications Channel -- 1.8 Preliminaries -- 1.9 Road Map for the Sequel -- References 
505 8 |a 2 Historical Basis for Sensor Management -- 2.1 From Task-Specific Sensor to Heterogeneous Network -- 2.2 Integration of Frequency Diverse Radars -- 2.3 Integration of Modality Diverse Sensors During the Vietnam Era -- 2.4 Networks of Homogeneous Sensors -- 2.5 Network of Heterogeneous Sensors -- 2.6 Network-Centric Warfare: The Start of Modern Sensor Management -- References -- 3 Sensor Management Inherent Problems -- 3.1 Indirect Sensor Management Issues -- 3.2 Multidisciplinary Problem -- 3.3 Passive Sensor Issues -- 3.4 Active Sensor Issues 
505 8 |a 3.5 Virtual Sensor, Heterogeneous Sensor, and Pseudo-Sensor Issues -- 3.6 World Models -- 3.6.1 Physical Models -- 3.6.2 Context -- 3.6.3 Probabilistic Models -- 3.6.4 Social Network Models -- 3.7 Operational Issues -- 3.7.1 Myopic Scheduling -- 3.7.2 Sensor Management Objective Functions -- References -- 4 Sensor Management Related Problems -- 4.1 Introduction -- 4.2 Fusion-Related Issues -- 4.2.1 Common Frame of Reference and Merging of Data from Different Platforms -- 4.2.2 Data Association Coordinate System Errors -- 4.2.3 Data Pedigree -- 4.2.4 Data Veracity 
505 8 |a 4.2.5 Hard and Soft Data Fusion -- 4.3 Alternative Configurations for Search, Track, and Identification -- 4.4 Detection Criteria -- 4.5 Target Models -- 4.6 Scheduling Constraints -- 4.6.1 Deleterious Interaction of Sensors -- 4.6.2 Computational Constraints -- 4.6.3 Randomly Occurring Sensor Failures -- References -- 5 Theoretical Approaches to Sensor Management -- 5.1 Overview of Sensor Management Theories -- 5.2 Scheduling Approaches Versus Decision-Making Approaches -- 5.3 Decision Theoretic Approaches -- 5.4 Normative Decision Theoretic Approaches 
505 8 |a 5.5 Descriptive Decision Theoretic Approaches -- 5.6 Sensor Management Architecture-Based Approaches -- 5.6.1 Decentralized Management -- 5.6.2 Game Theory-Based Approaches -- 5.6.3 Market Theory-Based Approaches -- 5.6.4 Hybrid Approaches -- References -- 6 Artificial Intelligence for Sensor Management -- 6.1 Introduction -- 6.2 Resurgence of AI -- 6.3 Specific Mapping of AI Capabilities to IBSM Functions -- 6.4 Supervised Machine Learning -- 6.5 Unsupervised Machine Learning -- 6.6 Data Fusion -- 6.6.1 Implementing Data Fusion Within IBSM -- 6.7 Ontologies for Storage and Reasoning 
505 8 |a 6.8 Characterizing Uncertainty 
588 0 |a Online resource; title from digital title page (viewed on May 20, 2020) 
520 |a This innovative resource is the first book that partitions the intelligence, surveillance and reconnaissance (ISR) sensor management process into partitioned functions that can be studied and optimized independently of each other through defined conceptual interfaces. The book explains the difference between situation information and sensor information and how to compute both. The information-based sensor management (IBSM) approach to real-time orchestrated resource management (ORM) of intelligence, surveillance, and reconnaissance (ISR) assets in the physical, cyber, and social domains are detailed.The integrating concept of mission value through use of goal lattice (GL) methodology is explored. Approaches to implementing real-time sensor management (SM) systems by applying advanced information-based approaches that consider contextual situation and optimization of diverse sensor capabilities for information-based objectives are also covered. These methods have applications in physical intelligence, surveillance, and reconnaissance (ISR), as well as in cyber, and social domains.Based on 30 years of research in developing a mission-valued approach to maximizing the transfer of information from real, cyber, and social environments into a mission-valued, probabilistic representation of that environment on which decision makers can formulate actions, this is the only book that addresses real-time management of ISR from a first principles approach (information theory), and how information theory can be applied to the design and development of ISR systems. 
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