Wireless AI: Wireless Sensing, Positioning, Iot, and Communications (Hardcover) (無線人工智慧：無線感測、定位、物聯網與通訊)

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)

這本開創性的書籍將介紹如何利用無線人工智慧（AI）來精確定位至公分級別、感應運動和生命徵象、以及識別事件和人物。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重路徑轉換為虛擬天線，結合時間反轉和機器學習的物理原理，涵蓋了基本理論、廣泛的實驗結果，以及針對產品和應用開發的真實實用案例。探討的主題包括室內定位和追蹤、無線感應和分析、無線能量傳輸和能源效率、5G和下一代通信，以及連接大量異質IoT設備的各種頻寬和能力。書中附帶的演示視頻在線上增強了對這些主題的理解。作為無線AI的統一框架，這本書非常適合研究生、研究人員和從事無線感應、定位、IoT、機器學習、信號處理和無線通信的專業人士閱讀。

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，馬里蘭大學學院公園分校

K. J. Ray Liu是馬里蘭大學學院公園分校電機和計算機工程系的Christine Kim傑出資訊技術教授。作為一位高被引用的研究者，他是電機和電子工程師學會（IEEE）和美國科學促進協會（AAAS）的會士，也是IEEE技術活動副主席和前IEEE信號處理學會主席。他獲得了2016年IEEE Leon K. Kirchmayer獎、IEEE信號處理學會2014年學會獎和IEEE信號處理學會2009年技術成就獎。他還合著了幾本書，包括《合作通信和網絡》（劍橋大學出版社，2008年）。

Beibei Wang，Origin Wireless, Inc.，馬里蘭州

Beibei Wang是Origin Wireless, Inc.的無線首席科學家，也與馬里蘭大學有聯繫。她曾獲得馬里蘭大學的優秀研究生獎學金、未來教職獎學金、院長博士研究獎和IEEE信號處理學會2015年概述論文獎。她與K. J. Ray Liu合著了《認知無線電網絡和安全性：博弈論視角》（劍橋大學出版社，2010年）。

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)

時間反轉和有效頻寬原則

第一部分. 室內定位和追踪:

2. 厘米級精度的室內定位

3. 多天線方法

4. 頻率跳躍方法

5. 厘米級精度的室內追踪

第二部分. 無線感測和分析:

6. 無線事件檢測

7. 室內監測的統計學習

8. 用於人體識別的無線生物特徵

9. 生命體徵估計和檢測

10. 無線運動檢測

11. 無設備速度估計

第三部分. 無線能量傳輸和能源效率:

12. 用於能源效率的時間反轉

13. 功率波形塑造

14. 聯合功率波形塑造和波束成形

第四部分. 5G通信和未來:

15. 時間反轉分集多址

16. 對抗TRDMA中的強弱共振

17. 時間反轉大規模多徑效應

18. 波形塑造

19. 空間聚焦效應用於網絡

20. 雲無線接入網絡的隧道效應

第五部分. 物聯網連接:

21. 用於物聯網的時間反轉

22. 物聯網的異構連接

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