Sensor management in ISR

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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:
Intelligent sensors.
Intelligence service.
Capteurs intelligents.
Service des renseignements.
Intelligence service
Intelligent sensors
Acceso en línea:Texto completo
Tabla de Contenidos:
  • 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
  • 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
  • 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
  • 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
  • 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
  • 6.8 Characterizing Uncertainty

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