RSS-AoA-based target localization and tracking in wireless sensor networks / Slavisa Tomic, Marko Belo, Rui Dinis, Milan Tuba, Nebojsa Bacanin.

Includes bibliographical references (pages 93-101) and index.

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.

Bibliography 93 -- Index 103 About the Authors 105.

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 services. Besides localization accuracy, a common requirement for emerging solutions is that they are cost-abstemious, both in terms of the financial and computational cost. Hence, development of localization strategies from already deployed technologies, e.g., from different terrestrial radio frequency sources is of great practical interest. Amongst other, these include localization strategies based on received signal strength (RSS), time of arrival, angle of arrival (AoA) or a combination of them. RSS-AoA-based Target Localization and Tracking in Wireless Sensor Networks presents recent advances in developing algorithms for target localization and tracking, reflecting the state-of-the-art algorithms and research achievements in target localization and tracking based on hybrid (RSS-AoA) measurements. Technical topics discussed in the book include: * Centralized RSS-AoA-based Target Localization * Distributed RSS-AoA-based Target Localization * RSS-AoA-based Target Tracking via Maximum A Posteriori Estimator * RSS-AoA-based Target Tracking via Kalman Filter * RSS-AoA-based via Sensor Navigation This book is of interest for personnel in telecommunications and surveillance industries, military, smart systems, as well as academic staff and postgraduate/research students in telecommunications, signal processing, and non-smooth and convex optimization.

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