Wireless AI: Wireless Sensing, Positioning, Iot, and Communications (Hardcover)
暫譯: 無線AI：無線感測、定位、物聯網與通訊（精裝版）

Liu, K. J. Ray, Wang, Beibei

Wireless AI: Wireless Sensing, Positioning, Iot, and Communications (Hardcover)

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商品描述

With this groundbreaking text, discover how wireless artificial intelligence (AI) can be used to determine position at centimeter level, sense motion and vital signs, and identify events and people. Using a highly innovative approach that employs existing wireless equipment and signal processing techniques to turn multipaths into virtual antennas, combined with the physical principle of time reversal and machine learning, it covers fundamental theory, extensive experimental results, and real practical use cases developed for products and applications. Topics explored include indoor positioning and tracking, wireless sensing and analytics, wireless power transfer and energy efficiency, 5G and next-generation communications, and the connection of large numbers of heterogeneous IoT devices of various bandwidths and capabilities. Demo videos accompanying the book online enhance understanding of these topics. Providing a unified framework for wireless AI, this is an excellent text for graduate students, researchers, and professionals working in wireless sensing, positioning, IoT, machine learning, signal processing and wireless communications.

商品描述(中文翻譯)

這本開創性的著作探討了無線人工智慧（AI）如何用於以公分級別確定位置、感知運動和生命體徵，以及識別事件和人員。它採用一種高度創新的方法，利用現有的無線設備和信號處理技術，將多徑效應轉化為虛擬天線，結合時間反轉的物理原理和機器學習，涵蓋了基本理論、廣泛的實驗結果以及為產品和應用開發的實際案例。探討的主題包括室內定位和追蹤、無線感測和分析、無線電力傳輸和能源效率、5G及下一代通訊，以及連接大量異質物聯網（IoT）設備的各種頻寬和能力。隨書附上的示範影片增強了對這些主題的理解。這本書為無線AI提供了一個統一的框架，是研究生、研究人員以及從事無線感測、定位、物聯網、機器學習、信號處理和無線通訊的專業人士的優秀參考書。

作者簡介

K. J. Ray Liu, University of Maryland, College Park
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).

Beibei Wang, Origin Wireless, Inc., Maryland
Beibei Wang is Chief Scientist in Wireless at Origin Wireless, Inc., and is also affiliated with the University of Maryland. She has been a recipient of the Outstanding Graduate School Fellowship, the Future Faculty Fellowship, the Dean's Doctoral Research Award from the University of Maryland, and the Overview Paper Award from the IEEE Signal Processing Society in 2015. She has co-authored Cognitive Radio Networking and Security: A Game-Theoretic View with K. J. Ray Liu (Cambridge, 2010)

作者簡介(中文翻譯)

K. J. Ray Liu，馬里蘭大學，公園校區

K. J. Ray Liu 是馬里蘭大學電機與計算機工程系的Christine Kim傑出資訊科技教授。他是一位高被引研究者，並且是電氣和電子工程師學會（IEEE）及美國科學促進會（AAAS）的會士，曾擔任IEEE技術活動副總裁及IEEE信號處理學會的前會長。他是2016年IEEE Leon K. Kirchmayer獎、2014年IEEE信號處理學會學會獎及2009年IEEE信號處理學會技術成就獎的獲得者。他還共同撰寫了幾本書籍，包括《合作通信與網絡》（Cambridge, 2008）。

Beibei Wang，Origin Wireless, Inc.，馬里蘭

Beibei Wang 是Origin Wireless, Inc.的無線首席科學家，並且與馬里蘭大學有關聯。她曾獲得馬里蘭大學的傑出研究生獎學金、未來教職獎學金、院長博士研究獎及2015年IEEE信號處理學會的概述論文獎。她與K. J. Ray Liu共同撰寫了《認知無線網絡與安全：博弈論視角》（Cambridge, 2010）。

目錄大綱

. 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

目錄大綱(中文翻譯)

. 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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