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論文名稱 Title |
用於多人定位與生理監測之合成孔徑自我注入鎖定雷達 Synthetic Aperture Self-Injection-Locked Radar for Locating Multiple People and Monitoring Their Vital Signs |
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系所名稱 Department |
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畢業學年期 Year, semester |
語文別 Language |
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學位類別 Degree |
頁數 Number of pages |
53 |
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研究生 Author |
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指導教授 Advisor |
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召集委員 Convenor |
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口試委員 Advisory Committee |
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口試日期 Date of Exam |
2022-08-10 |
繳交日期 Date of Submission |
2022-08-19 |
關鍵字 Keywords |
自我注入鎖定雷達、合成孔徑雷達、SAR成像演算法、頻率調變連續波、定位、生理感測 Self-injection-locked (SIL) radar, synthetic aperture radar (SAR), SAR imaging algorithm, frequency-modulated continuous wave (FMCW), positioning, vital sign detection |
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統計 Statistics |
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中文摘要 |
本論文提出基於自我注入鎖定(Self-Injection Locking﹐SIL)技術的合成孔徑雷達(Synthetic Aperture Rader﹐SAR),在實驗上將SIL雷達收發天線放置於等速的移動式平台,來達成SAR量測的效果。 應用SAR成像演算法獲得的二維成像資訊之後,可以將目標標記出確切的座標。再透過結合SIL技術之調頻連續波(Frequency Modulated Continuous Wave﹐FMCW)雷達慢時間(slow-time)的相位檢測來提取目標的都卜勒信息。本論文對室內環境中的單及多物體定位與振動頻率偵測以及單及多人體的定位與生理感測分別進行了實驗。 結果表明,所提出的方法不僅可以準確地確定SAR成像中目標的位置,還能可靠地獲得目標的都卜勒信息。 |
Abstract |
This study presents a synthetic aperture radar (SAR) based on self-injection locking(SIL) technology. In the experiment, the transmit (Tx) and receive (Rx) antennas of a SIL radar were mounted on a constant-speed moving platform to achieve SAR measurements. 2-D imaging of targets was then constructed by the SAR imaging algorithm to mark up the correct coordinates of the targets. Moreover, the Doppler information of the targets was further extracted from the detected slow-time phase using a combined SIL and frequency-modulated continuous-wave (FMCW) radar.This study conducts experiments to detect the positions and vibration or vital-sign frequencies of single and multiple targets in an indoor environment. The results prove that the proposed method can not only accurately determine the targets’ positions according to the SAR images but also obtain their Doppler information reliably. |
目次 Table of Contents |
論文審定書 i 誌謝 ii 摘要 iii Abstract iv 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 合成孔徑雷達(SAR)原理與應用 3 1.3 都卜勒雷達系統簡介 6 1.4 自我注入鎖定雷達 8 1.5 章節規劃 8 第二章 雷達系統與SAR成像演算法 9 2.1 雷達系統架構 9 2.2 天線場型圖與設置 12 2.3 SAR成像演算法 14 2.3.1 流程圖 14 2.3.2 資料取得 15 2.3.3 距離壓縮 16 2.3.4 方位角壓縮 16 2.3.5 RCMC校正 17 2.3.6 SAR解析度 18 2.3.7 生理訊號提取 19 2.4 驗證與分析 19 第三章 實驗結果與分析 24 3.1 物體定位與微振動感測實驗結果 24 3.1.1 單物體不同距離 24 3.1.2 多物體不同方位 26 3.1.3 多物體不同距離及方位 28 3.1.4 單一物體微振動感測 31 3.1.5 多物體不同振動頻率感測 33 3.2 人體定位與生理感測實驗結果 36 3.2.1 單人定位與生理感測 36 3.2.2 多人定位與生理感測 38 第四章 結論與未來展望 41 參考文獻 42 |
參考文獻 References |
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