東華大學圖書館 |

Positioning and sensing over wireless networks

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Positioning and sensing over wireless networks / by Yang Yang ... [et al.].
其他作者:	Yang, Yang.
出版者:	Cham :Springer Nature Switzerland : : 2025.,
面頁冊數:	xi, 181 p. :ill., digital ;24 cm.
內容註:	Chapter 1 Introduction -- 1.1 An Overview of Positioning and Sensing -- 1.1.1 Background -- 1.1.2 Motivation -- 1.2 Applications of Positioning and Sensing -- 1.2.1 Public Provision -- 1.2.2 Enterprise -- 1.2.3 Individuals -- 1.3 Organization of the Monograph -- Chapter 2 Key Performance Indicators and Measurements -- 2.1 KPIs -- 2.2 Measurement -- 2.2.1 Time-Based Measurements -- 2.2.2 Angle-Based Measurements -- 2.2.3 Received Signal Strength-Based Measurements -- 2.2.4 Others -- 2.3 Summary -- Chapter 3 Key Techniques for Positioning and Sensing -- 3.1 Machine Learning -- 3.1.1 Deep Neural Networks -- 3.1.2 Large Models -- 3.2 Adaptive System -- 3.2.1 Kalman Filter -- 3.2.2 Particle Filter -- 3.3 Reconfigurable Intelligent Surface -- 3.3.1 Active Reflectors -- 3.3.2 Passive Reflectors -- 3.4 Software Defined Network -- 3.5 Summary -- Chapter 4 Positioning and Sensing Over Radio Frequency Wireless Networks -- 4.1 Introduction -- 4.1.1 Background -- 4.1.2 Motivations -- 4.2 Models and Problem Formulation -- 4.2.1 System Model -- 4.2.2 Problem Formulation -- 4.3 State-of-the-art Progress -- 4.4 An Efficient RF-based Sensing Scheme -- 4.4.1 Scheme Construction -- 4.4.2 Performance Evaluation -- 4.5 Summary -- Chapter 5 Positioning and Sensing Over Optical Wireless Networks -- 5.1 Introduction -- 5.1.1 Background -- 5.1.2 Motivations -- 5.2 Models and Problem Formulation -- 5.2.1 System Model -- 5.2.2 Problem Formulation -- 5.3 State-of-the-art Progress -- 5.4 An Accurate Single-LED-based Visible Light Positioning Scheme -- 5.4.1 Scheme Construction -- 5.4.2 Performance Evaluation -- 5.5 Summary -- Chapter 6 Positioning and Sensing for UAVs -- 6.1 Introduction -- 6.1.1 Background -- 6.1.2 Motivations -- 6.2 Models and Problem formulation -- 6.2.1 System Model -- 6.2.2 Problem Formulation -- 6.3 Algorithm Design -- 6.4 Performance Evaluation -- 6.5 Summary -- Chapter 7 Conclusion and Future Works -- 7.1 Conclusion -- 7.2 Future Works.
Contained By:	Springer Nature eBook
標題:	Wireless localization. -
電子資源:	https://doi.org/10.1007/978-3-031-99162-2
ISBN:	9783031991622

Positioning and sensing over wireless networks
Positioning and sensing over wireless networks [electronic resource] /by Yang Yang ... [et al.]. - Cham :Springer Nature Switzerland :2025. - xi, 181 p. :ill., digital ;24 cm. - Wireless networks,2366-1445. - Wireless networks..

Chapter 1 Introduction -- 1.1 An Overview of Positioning and Sensing -- 1.1.1 Background -- 1.1.2 Motivation -- 1.2 Applications of Positioning and Sensing -- 1.2.1 Public Provision -- 1.2.2 Enterprise -- 1.2.3 Individuals -- 1.3 Organization of the Monograph -- Chapter 2 Key Performance Indicators and Measurements -- 2.1 KPIs -- 2.2 Measurement -- 2.2.1 Time-Based Measurements -- 2.2.2 Angle-Based Measurements -- 2.2.3 Received Signal Strength-Based Measurements -- 2.2.4 Others -- 2.3 Summary -- Chapter 3 Key Techniques for Positioning and Sensing -- 3.1 Machine Learning -- 3.1.1 Deep Neural Networks -- 3.1.2 Large Models -- 3.2 Adaptive System -- 3.2.1 Kalman Filter -- 3.2.2 Particle Filter -- 3.3 Reconfigurable Intelligent Surface -- 3.3.1 Active Reflectors -- 3.3.2 Passive Reflectors -- 3.4 Software Defined Network -- 3.5 Summary -- Chapter 4 Positioning and Sensing Over Radio Frequency Wireless Networks -- 4.1 Introduction -- 4.1.1 Background -- 4.1.2 Motivations -- 4.2 Models and Problem Formulation -- 4.2.1 System Model -- 4.2.2 Problem Formulation -- 4.3 State-of-the-art Progress -- 4.4 An Efficient RF-based Sensing Scheme -- 4.4.1 Scheme Construction -- 4.4.2 Performance Evaluation -- 4.5 Summary -- Chapter 5 Positioning and Sensing Over Optical Wireless Networks -- 5.1 Introduction -- 5.1.1 Background -- 5.1.2 Motivations -- 5.2 Models and Problem Formulation -- 5.2.1 System Model -- 5.2.2 Problem Formulation -- 5.3 State-of-the-art Progress -- 5.4 An Accurate Single-LED-based Visible Light Positioning Scheme -- 5.4.1 Scheme Construction -- 5.4.2 Performance Evaluation -- 5.5 Summary -- Chapter 6 Positioning and Sensing for UAVs -- 6.1 Introduction -- 6.1.1 Background -- 6.1.2 Motivations -- 6.2 Models and Problem formulation -- 6.2.1 System Model -- 6.2.2 Problem Formulation -- 6.3 Algorithm Design -- 6.4 Performance Evaluation -- 6.5 Summary -- Chapter 7 Conclusion and Future Works -- 7.1 Conclusion -- 7.2 Future Works.

This book covers the principles, methods, and state-of-the-art applications of positioning and sensing across both ground-based and aerial wireless networks. The first two chapters introduce key performance metrics and measurement techniques along with enabling tools. In the next two chapters, this book examines radio-frequency implementations over Wi-Fi systems, followed by visible-light positioning systems. Building on these chapters, fusion-based strategies demonstrate how inertial sensors, floor plans, and environmental constraints can be integrated via adaptive filter to enhance positioning accuracy. Subsequent chapters explore unmanned aerial vehicle-assisted positioning. Finally, this book presents integrated sensing-communication frameworks that design joint UAV Trajectory and resource allocations to deliver simultaneous connectivity and environmental awareness. This book targets graduate-level students and researchers working in computer science and electrical engineering as well as industry engineers. It offers both theoretical foundations and practical guidelines to develop next-generation wireless networks and beyond positioning and sensing solutions.

ISBN: 9783031991622

Standard No.: 10.1007/978-3-031-99162-2doiSubjects--Topical Terms:

3227049
Wireless localization.

LC Class. No.: TK5103.4895

Dewey Class. No.: 621.384

Positioning and sensing over wireless networks
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505 0 $a Chapter 1 Introduction -- 1.1 An Overview of Positioning and Sensing -- 1.1.1 Background -- 1.1.2 Motivation -- 1.2 Applications of Positioning and Sensing -- 1.2.1 Public Provision -- 1.2.2 Enterprise -- 1.2.3 Individuals -- 1.3 Organization of the Monograph -- Chapter 2 Key Performance Indicators and Measurements -- 2.1 KPIs -- 2.2 Measurement -- 2.2.1 Time-Based Measurements -- 2.2.2 Angle-Based Measurements -- 2.2.3 Received Signal Strength-Based Measurements -- 2.2.4 Others -- 2.3 Summary -- Chapter 3 Key Techniques for Positioning and Sensing -- 3.1 Machine Learning -- 3.1.1 Deep Neural Networks -- 3.1.2 Large Models -- 3.2 Adaptive System -- 3.2.1 Kalman Filter -- 3.2.2 Particle Filter -- 3.3 Reconfigurable Intelligent Surface -- 3.3.1 Active Reflectors -- 3.3.2 Passive Reflectors -- 3.4 Software Defined Network -- 3.5 Summary -- Chapter 4 Positioning and Sensing Over Radio Frequency Wireless Networks -- 4.1 Introduction -- 4.1.1 Background -- 4.1.2 Motivations -- 4.2 Models and Problem Formulation -- 4.2.1 System Model -- 4.2.2 Problem Formulation -- 4.3 State-of-the-art Progress -- 4.4 An Efficient RF-based Sensing Scheme -- 4.4.1 Scheme Construction -- 4.4.2 Performance Evaluation -- 4.5 Summary -- Chapter 5 Positioning and Sensing Over Optical Wireless Networks -- 5.1 Introduction -- 5.1.1 Background -- 5.1.2 Motivations -- 5.2 Models and Problem Formulation -- 5.2.1 System Model -- 5.2.2 Problem Formulation -- 5.3 State-of-the-art Progress -- 5.4 An Accurate Single-LED-based Visible Light Positioning Scheme -- 5.4.1 Scheme Construction -- 5.4.2 Performance Evaluation -- 5.5 Summary -- Chapter 6 Positioning and Sensing for UAVs -- 6.1 Introduction -- 6.1.1 Background -- 6.1.2 Motivations -- 6.2 Models and Problem formulation -- 6.2.1 System Model -- 6.2.2 Problem Formulation -- 6.3 Algorithm Design -- 6.4 Performance Evaluation -- 6.5 Summary -- Chapter 7 Conclusion and Future Works -- 7.1 Conclusion -- 7.2 Future Works.
520 $a This book covers the principles, methods, and state-of-the-art applications of positioning and sensing across both ground-based and aerial wireless networks. The first two chapters introduce key performance metrics and measurement techniques along with enabling tools. In the next two chapters, this book examines radio-frequency implementations over Wi-Fi systems, followed by visible-light positioning systems. Building on these chapters, fusion-based strategies demonstrate how inertial sensors, floor plans, and environmental constraints can be integrated via adaptive filter to enhance positioning accuracy. Subsequent chapters explore unmanned aerial vehicle-assisted positioning. Finally, this book presents integrated sensing-communication frameworks that design joint UAV Trajectory and resource allocations to deliver simultaneous connectivity and environmental awareness. This book targets graduate-level students and researchers working in computer science and electrical engineering as well as industry engineers. It offers both theoretical foundations and practical guidelines to develop next-generation wireless networks and beyond positioning and sensing solutions.
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