本篇論文致力於大範圍的人體追蹤與生理監測，透過相位陣列天線與都卜勒雷達，並結合數位波束成型來實現目的。被動式雷達，意即發射訊號源不從雷達自身產生，是以接收外部訊號來做為發射訊號，本論文將會先以訊號產生器產生連續波訊號源，來驗證實驗可行性，再以外部的Wi-Fi通訊波來做為發射訊號，實現被動雷達的架構。本論文是以接收端解調後的基頻訊號，來做為訊號抵達方向判斷的參考依據。首先校正初始位置後，人體因位於不同角度位置，導致反射訊號抵達各路天線會有不同的相位差，利用此相位差即可推算出人體所在位置的角度，並將帶有心肺運動資訊的反射訊號，乘上角度的權重並合成一路訊號後，即可達到人體位置追蹤以及生理訊號監測。此外電路及環境造成的直流準位偏移，會導致訊號抵達方向判斷的誤差，因此本論文使用兩種方式來進行直流準位的去除，皆能有效改善誤差產生。最後將會以實驗結果來探討目前所遇到的困境，提出此架構尚需改善之處，以提高未來應用的發展性。

This thesis is devoted to human tracking and vital signs monitoring using a digital beamforming Doppler radar. Passive radar receives the external signal as the transmit signal. The radar of this work uses the continuous-wave signal from the signal generator to verify the experimental feasibility, and then adopts the Wi-Fi signal as the transmit signal to implement the passive radar architecture. The radar relies on baseband processing to detect the direction of the arrived signal. The subject locates at different positions, causing the reflected signal from the subject to reach each antenna with different phase differences. Using this phase difference, the direction of the subject can be estimated and his/her cardiopulmonary movement can be detected. After weighting the phase difference signals and then combining them, the radar can achieve human tracking and vital signs monitoring. However, the DC offset caused by the circuit and clutter often produces the error of direction. Therefore, this work uses two methods to remove the DC offset for reducing the error of direction. Finally, the experimental results are demonstrated and discussed to explore the limitations of this radar architecture and possible improvements for future applications.

目錄
論文審定書 i
論文公開授權書 ii
誌謝 iii
摘要 iv
Abstract v
目錄 vi
圖次 viii
表次 xi
第一章 序論 1
1.1 研究背景與動機 1
1.2 都卜勒雷達簡介與應用 2
1.3 波束成型簡介 6
1.4 章節規劃 8
第二章 波束成型於生理監測的應用 10
2.1 前言 10
2.2 相位陣列簡介 10
2.3 陣列天線設計 14
2.4.1 訊號抵達角度計算方式 23
2.4.2 直流準位校正機制 24
2.4.3 正交解調電路設計 29
第三章 目標追蹤及生理監測實驗 37
3.1 前言 37
3.2 利用連續波做訊號源之實驗 37
3.2.1 實驗系統設置 37
3.2.2 量測結果 42
3.3 利用Wi-Fi訊號做訊號源之實驗 44
3.3.1 實驗系統設置 44
3.3.2 量測結果 48
3.4 多人追蹤及生理徵象量測 49
3.5 實驗討論 52
第四章 結論 54
參考文獻 55

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