Positioning and Sensing Over Wireless Networks
Springer International Publishing (Verlag)
978-3-031-99161-5 (ISBN)
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.
Yang Yang received the B.S degree in information engineering from the School of Communication, Xidian University, Xi' an, China, in June 2013, and the Ph.D. degree in information and communication engineering from the School of Information and Communication Engineering, Beijing University of Posts and Telecommunications (BUPT), Beijing, China, in June 2018. He is currently an Associate Professor with the School of Information and Communication Engineering BUPT. His research interests include intelligent wireless communications and positioning. He was a recipient of the IEEE WCNC 2021 Best Paper Award. He published more than 70 papers in high quality journals and conferences such as IEEE JSAC/TWC/GLOBECOM/ICC. He organized several symposium/workshops for IEEE GLOBECOM, IEEE ICC, IEEE WCNC and IEEE WCSP.
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.
| Erscheinungsdatum | 20.07.2025 |
|---|---|
| Reihe/Serie | Wireless Networks |
| Zusatzinfo | XI, 181 p. 66 illus., 59 illus. in color. |
| Verlagsort | Cham |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Themenwelt | Mathematik / Informatik ► Informatik ► Netzwerke |
| Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik | |
| Technik ► Nachrichtentechnik | |
| Schlagworte | Adaptive Systems • Large Models • machine learning • Positioning and Sensing • wireless networks |
| ISBN-10 | 3-031-99161-3 / 3031991613 |
| ISBN-13 | 978-3-031-99161-5 / 9783031991615 |
| Zustand | Neuware |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
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