隨著雷達技術的快速發展，毫米波雷達因其高精度和非接觸式感測的特性，逐漸成為熱門研究領域，特別是在存在感測與多人感測方面展現了很高的應用潛力。本論文以60 GHz頻率調變連續波（FMCW）雷達為核心，針對人體生理訊號感測進行深入探討，結合IMS學生競賽的需求，設計並實現了一套完整的多人生理訊號感測系統。該系統結合存在感測、方位角估計及數位波束成型技術，有效提升了生理訊號量測的精準度與多目標分離的能力。

With the rapid advancement of radar technology, millimeter-wave radar has gradually become a popular research field due to its high precision and non-contact sensing characteristics. It shows great potential, particularly in presence detection and multi-person sensing applications. This paper focuses on the sensing of human vital sign using 60 GHz Frequency Modulated Continuous Wave (FMCW) radar. It explores the topic in depth and, based on the requirements of the IMS Student Competition, designs and implements a comprehensive multi-person vital sign sensing system. The system integrates presence detection, azimuth estimation, and digital beamforming techniques, effectively improving the accuracy of vital sign measurements and the ability to separate multiple targets.

論文審定書i
誌謝ii
摘要iii
Abstactiv
目錄v
圖次vii
表次ix
第一章 序論1
1.1研究背景與動機1
1.2頻率調變連續波雷達簡介2
1.3 IMS學生競賽規則6
1.4 章節規劃8
第二章 雷達系統及感測原理9
2.1雷達介紹9
2.1.1雷達系統介紹9
2.1.2 頻率調變連續波雷達訊號處理流程11
2.2 存在感測技術14
2.3 多人感測技術18
2.3.1 天線校正18
2.3.2方位角估計19
2.3.3 數位波束成型23
第三章 雷達感測實驗27
3.1靈敏度測試27
3.2存在感測實驗30
3.3方位角實驗32
3.3.1致動器方位角實驗32
3.3.2人體方位角實驗36
3.4多人生理訊號感測實驗40
3.5 IMS競賽結果呈現44
第四章 結論47
參考文獻48

[1] Go Direct® Respiration Belt - Vernier Software & Technology. [Online]. Available: https://www.vernier.com/product/go-direct-respiration-belt/
[2]Photoplethysmogram – Wikipedia. [Online]. Available: https://en.wikipedia.org/wiki/Photoplethysmogram
[3]心電描記術 – 維基百科. [Online]. Available: https://zh.wikipedia.org/zh-tw/%E5%BF%83%E7%94%B5%E6%8F%8F%E8%AE%B0%E6%9C%AF
[4]P. Bernardi, R. Cicchetti, S. Pisa, E. Pittella, E. Piuzzi, and O. Testa, “Design, Realization, and Test of a UWB Radar Sensor for Breath Activity Monitoring,” IEEE Sensors. J., vol. 14, no. 2, pp. 584-596, Feb. 2014.
[5]J-C. Yue Lai, Y. Xu, E. Gunawan, E. C-P. Chua, A. Maskooki, Y-L. Guan, K-S. Low, C-B. Soh, and C-L. Poh, “Wireless Sensing of Human Respiratory Parameters by Low-Power Ultrawideband Impulse Radio Radar,” IEEE Trans. Instrum. Meas., vol. 60, no. 3, pp. 928-938, Mar. 2011.
[6]Y. Xiao, J. Lin, O. Boric-Lubecke, M. Lubecke, “Frequency-tuning technique for remote detection of heartbeat and respiration using low-power double-sideband transmission in the ka-band,” IEEE Trans. Microw. Theory Techn., vol. 54, no. 5, pp. 2023-2032, May. 2006.
[7]Frequency-Modulated Continuous-Wave Radar (FMCW Radar). [Online]. Available: https://www.radartutorial.eu/02.basics/Frequency%20Modulated%
20Continuous%20Wave%20Radar.en.html
[8]C. Li, M-R. Tofighi, D. Schreurs, T-S. J. Horng, “Principles and Applications of RF/Microwave in Healthcare and Biosensing,” pp. 191-242, 2017

[9]M. Mercuri, G. Sacco, R. Hornung, P. Zhang, H-J. Visser, M. Hijdra, Y-H. Liu, S. Pisa, B-V. Liempd, T. Torfs, “2-D Localization, Angular Separation and Vital Signs Monitoring Using a SISO FMCW Radar for Smart Long-Term Health Monitoring Environments,” IEEE Internet of Things Journal, vol. 8, no. 14, pp. 11065-11077, Jul. 2021.
[10]J. Liu, Y. Li, C. Li, C. Gu, J-F. Mao, “Accurate Measurement of Human Vital Signs with Linear FMCW Radars Under Proximity Stationary Clutters,” IEEE Trans. Biom. Circ. Syst., vol. 15, no. 6, pp. 1393-1404, Dec. 2021.
[11]E. Cardillo, G. Paolini, F.-K. Wang, J.-M. Munoz-Ferreras, C.-T. M. Wu, and O. Boric-Lubecke, “IMS-2024 student design competition instructions: Radar for Noncontact Vital Sign Sensing,” Institute of Electrical and Electronics Engineers, Piscataway, NJ, USA, 2024. [Online]. Available: https://ims-ieee.org/sites/ims2019/files/content_images/2024/pdf/SDC7-radar_for_noncontact_vital_sign_sensing.pdf
[12]Infineon. [Online]. Available: https://www.infineon.com/dgdl/Infineon-AN60
0_BGT60TR13C_Shield-ApplicationNotes-v02_40-EN.pdf?fileId=8ac78c8c7
d0d8da4017d3318e31c2ad6
[13]D. Wang, S. Yoo, S-H, Cho, “Experimental Comparison of IR-UWB Radar and FMCW Radar for Vital Signs,” MDPI, Nov. 2020.
[14]M-M. Abdul-Atty, M. Mabrouk, S. Elramly, “Design and Implementation of a Low Cost FMCW Radar with Configurable Signal Processor for Human Movement and Breathing Detection” IJEEDC, vol. 7, no. 9, Sep. 2019.
[15]S. M. Kay, “Fundamentals of Statistical Signal Processing: Detection
Theory,” vol. 2, 1998.
[16]J-Y. Shih, J-X Zhong, F-K Wang, “Occupancy Detection Using a Frequency-Modulated Phase- and Self-Injection-Locked (FMPSIL) Radar and Two-Stage Generalized Likelihood Ratio Test (GLRT) Algorithm” IEEE Trans. Microw. Theory Techn., vol. 72, no. 8, pp. 4908-4918, Aug. 2024.
[17]M. Richards, “Fundamentals of Radar Signal Processing,” 2005.
[18]X. Li, X. Wang, Q. Yang, S. Fu, “Signal Processing for TDM MIMO FMCW
Millimeter-Wave Radar Sensors,” IEEE Vehic. Techn. Socie. Sec., vol. 9, pp. 167959-167971, Dec. 2021.
[19]Measuring Angles with FMCW | Understanding Radar Principles - MathWorks. [Online]. Available: https://www.mathworks.com/videos/radar-basics-part-2-measuring-angles-with-fmcw-1655122923862.html
[20] MIMO Radar: TI Application Report – Texas Instruments. [Online]. Available: https://www.ti.com/lit/an/swra554a/swra554a.pdf
[21]E. Tuncer, B. Friedlander, “Classical and Modern Direction-of-Arrival Estimation,” 2009.
[22]B-K. Park, O. Boric-Lubecke, V. M. Lubecke, “Arctangent demodulation with DC offset compensation in quadrature Doppler radar receiver systems” IEEE Trans. Microw. Theory Techn., vol. 55, no. 5, pp. 1073-1079, May. 2007.