本論文實現自我注入鎖定雷達來感測生理徵象，並以數位的方式來完成解端，
具有節省硬體架構的優點，論文大致上分為兩個部分，第一部分主要是注入鎖定
振盪器(ILO)的研製，第二部分敘述雷達感測原理及利用降頻方法來克服示波器儲
存資料方面上硬體的限制。當電磁波發射至目標物時，經由目標物反射訊號注回
壓控震盪器中，使振盪器處於自我注入鎖定的狀態，且系統產生因目標物胸腔位
移而造成的頻率調制訊號，再經由混波器(Mixer)降頻後由示波器儲存訊號，最後
在軟體端(Matlab)實現解調，得到呼吸及心跳訊號。最後本論文會提出此頻率解調
架構的限制，並討論後續如何解決改善問題，讓此雷達架構能順利應用於生理感測。

In this thesis, self-injection locked (SIL) radar is utilized to detect vital sign, with digital method for realizing frequency discriminator, which can cost less in terms of hardware. This thesis is devided into two parts. First, this thesis discusses how to design injection locked oscillator (ILO). Secondly, this thesis explains sensing principle and using frequency down converting to overcome the limitation of the oscilloscope.
When the electromagnetic wave is emitted to the subject, the reflected wave from the subject is received and injected into a voltage-controlled oscillator (VCO), so that, the oscillator is in self-injection locked, and outputs a frequency modulated signal due to chest movement of the subject. After using the mixer to perform frequency downconversion, the output is saved by oscilloscope. Lastly, digital demodulation is realized in Matlab to get vital sign signal. This thesis also discusses the limitation of this frequency demodulator method, and how to overcome the problem for this radar system when it is applied to vital sign sensing.

論文審定書.............................................................................................................................i
摘要........................................................................................................................................ii
Abstract.................................................................................................................................iii
目錄........................................................................................................................................iv
圖次........................................................................................................................................vi
表次........................................................................................................................................viii
第一章 序論...........................................................................................................................1
1.1 研究背景與動機..............................................................................................................1
1.2 常見之生理感測雷達.......................................................................................................2
1.2.1 CW (Continuous Wave)雷達.........................................................................................2
1.2.2 超寬頻(Ultra-wideband，UWB)雷達.............................................................................3
1.2.3 自我注入鎖定(Self-injection locked，SIL)雷達............................................................4
1.3 章節規劃 ..........................................................................................................................4
第二章 注入鎖定振盪器..........................................................................................................5
2.1注入鎖定振盪器原理..........................................................................................................5
2.1.1振盪條件..........................................................................................................................5
2.1.2注入鎖定現象...................................................................................................................8
2.2 自我注入鎖定振盪器設計..................................................................................................11
2.2.1 433MHz自我注入鎖定振盪器設計規格........................................................................11
2.2.2 振盪器設計流程 ............................................................................................................12
2.2.3 SIL振盪器量測結果.......................................................................................................14
2.3 433MHz 天線選擇............................................................................................................18
第三章 數位中頻解調...............................................................................................................20
3.1 自我注入鎖定雷達感測原理 .............................................................................................20
3.2 實驗系統架構 ....................................................................................................................22
3.3 實驗量測結果 ....................................................................................................................26
3.3.1 利用致動器擺動測試......................................................................................................26
3.3.2 量測生理訊號之實測 .....................................................................................................28
3.3.3 不同delay time測試……………………………………....................................................................30
第四章 結論...............................................................................................................................31
參考文獻....................................................................................................................................32

 

[1] M. I. Skolnik, Introduction to Radar System, 3rd ed. New York: McGraw-Hill, 2001.
[2] M. I. Skolnik, Radar Handbook, 3rd ed. New York: McGraw-Hill, 2008
[3] K. M. Chen, D. Misra, H. Wang, H. R. Chuang and E. Postow, "An X-Band Microwave Life-Detection System,"
in IEEE Trans. Biomed. Eng., vol. BME-33, no. 7, pp. 697-701, July 1986.
[4] J. C. Lin, “Microwave sensing of physiological movement and volume change: a review,” Bioelectromagnetics, vol. 13, pp. 557-565, Apr. 1992.
[5] K. M. Chen, Y. Huang, J. Shang, and A. Norman, “Microwave life-detection and systems for searching human subjects under earthquake rubble or behind barrier,” IEEE Trans. Biomed. Eng., vol. 27, pp. 105-114,
Jan. 2000.
[6] W. Xu, C. Gu, C. Li and M. Sarrafzadeh, “Robust Doppler radar demodulation via compressed sensing,” IEEE Electron. Lett., vol. 48, no. 22, pp. 1428-1430, Oct. 2012.
[7] S. Guan, J. A. Rice, C. Li and C. Gu, “Automated DC offset calibration strategy for structural health monitoring based on portable CW radar sensor,” IEEE Trans. Microw. Theory Techn., vol. 63, no. 12, pp. 3111-
3118, Dec. 2014.
[8] H. Zhao, H. Hong, L. Sun, F. Xi, C. Li, and X. Zhu, “Accurate DC offset calibration of Doppler radar via non-convex optimization,” IEEE Electron. Lett.,vol. 51, no. 16,pp. 1282-1284, Aug. 2015.
[9] F. Liang, M. Liu, H. Li, F. Qi, Z. Li and J. Wang, “Through-the-wall imagery of human vital signs using UWB MIMO bioradar,” 2017 IEEE 2nd Information Technology, Networking, Electronic and Automation
Control Conference (ITNEC), Chengdu, 2017, pp. 924-927.
[10] V. Nguyen and M. A. Weitnauer, “UWB impulse radar for vital signs sensing- A modeling framework for arbitrary periodic heart and lung motion,” 2015 IEEE Biomed. Circuits Syst. Conf. (BioCAS), Atlanta, GA,
2015, pp. 1-4
[11] S. Q. Yao, S. Y. Wu, K. Tan, S. B. Ye and G. Y. Fang, “A vital sign feature detection and search strategy based on multiple UWB life-detection-radars,” 2016 16th Int. Conf. on Ground Penetrating Radar (GPR),
Hong Kong, 2016, pp. 1-6.
[12] D. T. Wisland, K. Granhaug, J. R. Pleym, N. Andersen, S. Støa and H. A. Hjortland, “Remote monitoring of vital signs using a CMOS UWB radar transceiver,” 2016 14th IEEE Int. New Circuits and Syst. Conf.
(NEWCAS), Vancouver, BC, 2016, pp. 1-4
[13] E. Schires, P. Georgiou and T. S. Lande, “Vital Sign Monitoring Through the Back Using an UWB Impulse Radar With Body Coupled Antennas,” IEEE Trans. Biomed, Circuits Syst., vol. 12, no. 2, pp. 292-302,
April 2018.
[14] 張盛富、張嘉展，無線通訊射頻晶片模組設計-射頻晶片篇，台北，全華圖書股份有限公司，2008年。
[15] N.M. Nguyen and R. G. Meyer, “Start-up and frequency stability in high-frequency oscillators,” IEEE J.Solid-State Circuits,vol. 27,no.5,pp.810-820,May 1992.
[16] D.M.Pozar ,Microwave Engineering ,4th ed.Hoboken:John Willey&Sons,New Jersey,2012.
[17] R. Adler, “A Study of Locking Phenomena in Oscillators,” Proceedings of the IEEE, VOL. 61, NO. 10, October 1973
[18] T. S. Horng, “Self-injection-locked radar: An advance in continuous-wave technology for emerging radar systems,” 2013 Asia-Pacific Microw. Conf. Proc. (APMC), Seoul, 2013, pp. 566-569.
[19] 簡昭和，自我注入鎖定雷達之印刷電路板設計，國立中山大學電機工程學系碩士論文，民國107年。
[20] 蕭介勛，本地振盪源的注入鎖定與牽引現象之研究，中山大學論文，民97年
[21] F. K. Wang et al., “A Novel Vital-Sign Sensor Based on a Self-Injection-Locked Oscillator,” IEEE Trans. Microw. Theory Techn., vol. 58, no. 12, pp. 4112-4120, Dec. 2010.
[22] F. K. Wang, “Single-Antenna Doppler Radars Using Self and Mutual Injection Locking for Vital Sign Detection With Random Body Movement Cancellation,” IEEE Transactions on Microwave Theory and
Techniques, VOL.59, NO.12, DECEMBER 2011
[23] F. K. Wang, C. J. Li, C. H. Hsiao, T. S. Horng, J. Lin, K. C. Peng, J. K. Jau, J. Y. Li, and C. C. Chen, “A novel vital-sign sensor based on a self-injection-locked oscillator,” IEEE Trans. Microw. Theory Tech., vol. 58, no.12, pp. 4112-4120, Dec.2010.
[24] A. Droitcour, V. Lubecke, L. Jenshan, and O. Boric-Lubecke, “A microwave radio for Doppler radar sensing of vital signs,” IEEEMTT-S Int. Microw. Symp. Dig., 2001, vol. 1, pp. 175–178.
[25] C. Li, V. Lubecke, O. Boric-Lubecke, and J. Lin, “A review on recent advances in doppler radar sensors for noncontact healthcare monitoring,” Microwave Theory and Techniques, IEEE Transactions on, vol. 61, no. 5, pp. 2046–2060, May 2013.
[26] J. C. Lin, “Microwave sensing of physiological movement and volume change—A review,” Bioelectromagnetics, vol. 13, pp. 557–565, 1992.
[27] K. M. Chen, D. Misra, H. Wang, H. R. Chuang, and E. Postow, “An X-band microwave life-detection system,” IEEE Trans. Biomed. Eng., vol. BME-33, pp. 697–702, July 1986.
[28] C. Li, J. Lin, Y. Xiao, "Robust Overnight Monitoring of Human Vital Signs by a Non-contact Respiration and Heartbeat Detector," Proceedings of the 28th IEEE Engineering in Medicine and Biology Society Annual International Conference, pp. 2235-2238, 2006.
[29] A. D. Droitcour, T. B. Seto, Byung-Kwon Park, S. Yamada, A. Vergara, C. El Hourani, T. Shing, A. Yuen, V. M. Lubecke and O. BoricLubecke, "Non-contact respiratory rate measurement validation for hospitalized patients," Engineering in Medicine and Biology Society, EMBC 2009. Annual International Conference of the IEEE, 2009, pp. 4812-4815.
[30] Bo Yang, Jing Luo, and Qi Liu. “A novel low-cost and small-size human tracking system with pyroelectric infrared sensor mesh network”,. Infrared Physics Technology, 63:147 – 156, 2014.
[31] Rogers, R. R. The early years of Doppler radar in meteorology. In Radar in Meteorology, D. Atlas, Ed. Boston, MA: AMS, 1990, pp. 122–129.
[32] M. Baboli, A. Singh, B. Soll, O. Boric-Lubecke, and V. Lubecke, “Good night: sleep monitoring using a physiological radar monitoring system integrated with a polysomnography system,” IEEE Microw. Mag., vol. 16, no. 6, pp. 34–41, Jul. 2015.