An innovative and groundbreaking text explaining how wireless AI can determine position, sense motion and vital signs, and identify events and people.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
K. J. Ray Liu is Christine Kim Eminent Professor of Information Technology in the Department of Electrical and Computer Engineering at the University of Maryland, College Park. A Highly Cited Researcher, he is a Fellow of the Institute of Electrical and Electronics Engineers (IEEE) and the American Association for the Advancement of Science (AAAS), IEEE Vice President, Technical Activities, and a former President of the IEEE Signal Processing Society. He is a recipient of the 2016 IEEE Leon K. Kirchmayer Award, the IEEE Signal Processing Society 2014 Society Award, and the IEEE Signal Processing Society 2009 Technical Achievement Award. He has also co-authored several books, including Cooperative Communications and Networking (Cambridge, 2008).
Inhaltsangabe
1. Principles of time reversal and effective bandwidth Part I. Indoor Locationing and Tracking: 2. Centimeter-accuracy indoor positioning 3. Multi-antenna approach 4. Frequency hopping approach 5. Decimeter-accuracy indoor tracking Part II. Wireless Sensing and Analytics: 6. Wireless events detection 7. Statistical learning for indoor monitoring 8. Radio biometrics for human recognition 9. Vital signs estimation and detection 10. Wireless motion detection 11. Device-free Speed estimation Part III. Wireless Power Transfer and Energy Efficiency: 12. Time-reversal for energy efficiency 13. Power waveforming 14. Joint power waveforming and beamforming Part IV. 5G Communications and Beyond: 15. Time-reversal division multiple access 16. Combating strong-weak resonances in TRDMA 17. Time-reversal massive multipath effect 18. Waveforming 19. Spatial focusing effect for networking 20. Tunnelling effect for cloud radio access network Part V. IoT Connections: 21. Time-reversal for IoT 22. Heterogeneous connections for IoT.
1. Principles of time reversal and effective bandwidth Part I. Indoor Locationing and Tracking: 2. Centimeter-accuracy indoor positioning 3. Multi-antenna approach 4. Frequency hopping approach 5. Decimeter-accuracy indoor tracking Part II. Wireless Sensing and Analytics: 6. Wireless events detection 7. Statistical learning for indoor monitoring 8. Radio biometrics for human recognition 9. Vital signs estimation and detection 10. Wireless motion detection 11. Device-free Speed estimation Part III. Wireless Power Transfer and Energy Efficiency: 12. Time-reversal for energy efficiency 13. Power waveforming 14. Joint power waveforming and beamforming Part IV. 5G Communications and Beyond: 15. Time-reversal division multiple access 16. Combating strong-weak resonances in TRDMA 17. Time-reversal massive multipath effect 18. Waveforming 19. Spatial focusing effect for networking 20. Tunnelling effect for cloud radio access network Part V. IoT Connections: 21. Time-reversal for IoT 22. Heterogeneous connections for IoT.
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