RSS-AoA-based target localization and tracking in wireless sensor networks /
The desire for precise knowledge about the location of a moving object at any time instant has motivated a great deal of scientific research recently. This is owing to a steady expansion of the range of enabling devices and technologies, as well as the need for seamless solutions for location-based...
Clasificación: | Libro Electrónico |
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Autores principales: | , , , , |
Formato: | Electrónico eBook |
Idioma: | Inglés |
Publicado: |
Gistrup, Denmark :
River Publishers,
[2017]
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Colección: | River Publishers series in communications.
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Temas: | |
Acceso en línea: | Texto completo |
Tabla de Contenidos:
- Preface ix Acknowledgments xi
- List of Figures xiii
- List of Tables xvii
- List of Abbreviations xix Nomenclature xxi Abstract 1
- 1 Introduction 3
- 1.1 Motivation 3
- 1.2 Localization Schemes 4
- 1.2.1 OverviewofLocalization Techniques 6
- 1.2.1.1 Range-free localization 7
- 1.2.1.2 Range-based localization 7
- 1.3 Outline and Contributions 9
- 2 RSS-AoA-based Target Localization 11
- 2.1 Chapter Summary 11
- 2.2 Centralized RSS-AoA-based Target Localization 12
- 2.2.1 RelatedWork 12
- 2.2.1.1 Contribution 13
- 2.2.2 ProblemFormulation 13
- 2.2.2.1 Assumptions 18
- 2.2.3 Non-cooperative Localization 18
- 2.2.3.1 Non-cooperative localization with known PT 19
- 2.2.3.2 Non-cooperative localization with unknown PT 21
- 2.2.4 Cooperative Localization 23
- 2.2.4.1 Cooperative localization with known PT 24
- 2.2.4.2 Cooperative localization with unknown PT 26
- 2.2.5 ComplexityAnalysis 27
- 2.2.6 PerformanceResults 29
- 2.2.6.1 Non-cooperative WSN 30
- 2.2.6.2 Cooperative WSN 32
- 2.2.6.3 Real indoor experiment 36
- 2.2.7 Conclusions 39
- 2.3 Distributed RSS-AoA-based Target Localization 40
- 2.3.1 RelatedWork 40
- 2.3.1.1 Contribution 41
- 2.3.2 ProblemFormulation 42
- 2.3.2.1 Assumptions 46
- 2.3.3 Distributed Localization 46
- 2.3.3.1 Transmit powers areknown 47
- 2.3.3.2 Transmit powers arenot known 52
- 2.3.4 ComplexityAnalysis 54
- 2.3.5 PerformanceResults 56
- 2.3.6 Conclusions 61
- 3 Target Tracking 63
- 3.1 Chapter Summary 63
- 3.2 Introduction 63
- 3.2.1 RelatedWork 64
- 3.2.2 Contribution 64
- 3.3 ProblemFormulation 64
- 3.4 Linearization of the Measurement Model 67
- 3.5 TargetTracking 69
- 3.5.1 MaximumAPosterioriEstimator 69
- 3.5.2 Kalman Filter 70
- 3.5.3 SensorNavigation 71
- 3.6 PerformanceResults 73
- 3.6.1 SimulationResults 73
- 3.6.2 Real Indoor Experiment 80
- 3.7 Conclusions 82
- 4 Conclusions and FutureWork 83
- 4.1 Conclusions 83
- 4.2 FutureWork 84 A CRB Derivation for RSS-AoA Localization 87 B Derivation of the State Transition Model 89.