簡易檢索 / 詳目顯示

研究生: 謝閎恩
Hsieh, Hung-En
論文名稱: MIMO Radar and Non-contact Vital Sign Detection for Wireless Healthcare Monitoring
應用多跟傳輸多根接收天線和生命信號偵測於無線健康照護觀測
指導教授: 吳仁銘
Wu, Jen-Ming
口試委員: 桑梓賢
Sang, Tzu-Hsien
朱大舜
Chu, Ta-shun
學位類別: 碩士
Master
系所名稱: 電機資訊學院 - 電機工程學系
Department of Electrical Engineering
論文出版年: 2011
畢業學年度: 100
語文別: 英文
論文頁數: 45
中文關鍵詞: 多根傳輸多根接收天線雷達生命訊號偵測空間時間適應性處理
外文關鍵詞: MIMO radar, vital sign detection, STAP
相關次數: 點閱:3下載:0
分享至:
查詢本校圖書館目錄 查詢臺灣博碩士論文知識加值系統 勘誤回報
  • 一般的生命訊號偵測系統需要接觸到人體,然而在很多情況下例如要觀測被火燒傷的病人或是新生的嬰兒的時候這種會觸碰的人身上的生命訊號偵測系統就不是那麼適合。在本篇論文中,我們提出了無接觸式的生命偵測系統基於多根傳輸天線多根接收天線 (MIMO) 的雷達。MIMO雷達有很高的自由度與空間上的解析度。時間與空間的適應性處理 (STAP) 技術被應用在MIMO雷達上,用來提升訊號對干擾及雜訊比 (SINR) 。藉由些許的修改,帶有生命訊號模型的MIMO-STAP雷達被建置出來。本篇論文要解決的問題是要從所接收到的訊號中擷取中呼吸與心跳的訊號出來。但通常心跳比呼吸的訊號微弱很多,所以心跳的訊號很難被偵測出來。在本篇論文中,我們提出了幾個方法應用了MIMO雷達的特性和最小變異數無失真反應 (MVDR) 演算法來削弱雜訊進而偵測心跳訊號。模擬的結果表現出應用了本篇提出的方法後的確可以偵測到呼吸與心跳的訊號。這裡使用了均方誤差 (mean-square-error) 來比較不同方法的效果。


    Abstract i Contents ii 1 Introduction 1 1.1 Background and Motivation . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 1.2 Thesis Organization . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4 2 Radar Con gurations: Phased-array Radar, MISO Radar and MIMO Radar 5 2.1 General System Model . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5 2.2 Phased-Array Radar . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7 2.3 MIMO Radar . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9 2.4 MISO Radar . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11 2.5 Detection Ability Comparison . . . . . . . . . . . . . . . . . . . . . . . . . . 12 3 Space-Time Adaptive Processing MIMO Radar 17 3.1 STAP System Model . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 17 3.2 Virtual Array Concept . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 21 4 Heartbeat and Respiration Detection 25 4.1 Vital Sign Signal Model . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 25 4.2 Heartbeat and Respiration Extraction . . . . . . . . . . . . . . . . . . . . . . 27 4.2.1 Averaging Method . . . . . . . . . . . . . . . . . . . . . . . . . . . . 28 4.2.2 MVDR Method . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 30 4.2.3 Dimension Reduction Method . . . . . . . . . . . . . . . . . . . . . . 33 5 Simulaions and Results 35 6 Conclusion 41

    [1] W. Siebert, \A radar detection philosophy," IRE Transactions on Information Theory,
    vol. 2, no. 3, pp. 204 {221, september 1956.
    [2] J. Goldstein, \Introduction to radar systems third edition," IEEE Aerospace and Elec-
    tronic Systems Magazine, vol. 16, no. 10, p. 19, oct 2001.
    [3] D. Bliss and K. Forsythe, \Multiple-input multiple-output (mimo) radar and imaging:
    degrees of freedom and resolution," in IEEE Thirty-Seventh Asilomar Conference on
    Signals, Systems and Computers, vol. 1, nov. 2003, pp. 54 { 59.
    [4] K. Forsythe, D. Bliss, and G. Fawcett, \Multiple-input multiple-output (mimo) radar:
    performance issues," in IEEE Thirty-Eighth Asilomar Conference on Signals, Systems
    and Computers, vol. 1, nov. 2004, pp. 310 { 315.
    [5] F. Robey, S. Coutts, D. Weikle, J. McHarg, and K. Cuomo, \Mimo radar theory and
    experimental results," in IEEE Thirty-Eighth Asilomar Conference on Signals, Systems
    and Computers, vol. 1, nov. 2004, pp. 300 { 304.
    [6] E. Fishler, A. Haimovich, R. Blum, R. Cimini, D. Chizhik, and R. Valenzuela, \Performance
    of mimo radar systems: advantages of angular diversity," in IEEE Thirty-Eighth
    Asilomar Conference on Signals, Systems and Computers, vol. 1, nov. 2004, pp. 305 {
    309.
    [7] M. Sekine and K. Maeno, \Non-contact heart rate detection using periodic variation in
    doppler frequency," in 2011 IEEE Sensors Applications Symposium (SAS), feb. 2011,
    pp. 318 {322.
    [8] Y. Tao, J. Long, J. Y. Wang, W. Cui, W. Ma, J. T. Huangfu, and L. Ran, \A novel
    non-contact vital sign detection system based on phase-coded pulse radar," in IET
    International Communication Conference on Wireless Mobile and Computing, dec. 2009,
    pp. 421 {424.
    [9] C. Li, J. Ling, J. Li, and J. Lin, \Accurate doppler radar noncontact vital sign detection
    using the relax algorithm," IEEE Transactions on Instrumentation and Measurement,
    vol. 59, no. 3, pp. 687 {695, march 2010.
    [10] J. Guerci, J. Goldstein, and I. Reed, \Optimal and adaptive reduced-rank stap," IEEE
    Transactions on Aerospace and Electronic Systems, vol. 36, no. 2, pp. 647 {663, apr
    2000.
    [11] A. Haimovich and M. Berin, \Eigenanalysis-based space-time adaptive radar: performance
    analysis," IEEE Transactions on Aerospace and Electronic Systems, vol. 33, no. 4,
    pp. 1170 {1179, oct. 1997.
    [12] B. Friedlander, \A subspace method for space time adaptive processing," IEEE Trans-
    actions on Signal Processing, vol. 53, no. 1, pp. 74 { 82, jan. 2005.
    [13] E. Fishler, A. Haimovich, R. Blum, J. Cimini, L.J., D. Chizhik, and R. Valenzuela,
    \Spatial diversity in radars-models and detection performance," IEEE Transactions on
    Signal Processing, vol. 54, no. 3, pp. 823 { 838, march 2006.
    [14] J. Capon, \High-resolution frequency-wavenumber spectrum analysis," Proceedings of
    the IEEE, vol. 57, no. 8, pp. 1408 { 1418, aug. 1969.
    [15] C.-Y. Chen and P. Vaidyanathan, \Mimo radar space-time adaptive processing using
    prolate spheroidal wave functions," IEEE Transactions on Signal Processing, vol. 56,
    no. 2, pp. 623 {635, feb. 2008.

    無法下載圖示 全文公開日期 本全文未授權公開 (校內網路)
    全文公開日期 本全文未授權公開 (校外網路)

    QR CODE