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http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/45704完整後設資料紀錄
| DC 欄位 | 值 | 語言 |
|---|---|---|
| dc.contributor.advisor | 劉佩玲(Pei-Ling Liu) | |
| dc.contributor.author | Chao-Ting Chen | en |
| dc.contributor.author | 陳昭廷 | zh_TW |
| dc.date.accessioned | 2021-06-15T04:44:52Z | - |
| dc.date.available | 2011-08-12 | |
| dc.date.copyright | 2010-08-12 | |
| dc.date.issued | 2010 | |
| dc.date.submitted | 2010-08-06 | |
| dc.identifier.citation | [1] Y. L. Chen J, Elson J, Wang H, Maniezzo D, Hudson R E,Yao K and Estrin D 'Coherent acoustic array processing and localisation on wireless sensor networks,' IEEE Proc, vol. 91, 2003.
[2] A. Mandai, et al., 'Beep: 3D indoor positioning using audible sound,' in 2005 2nd IEEE Consumer Communications and Networking Conference, CCNC2005, January 3, 2005 - January 6, 2005, Las Vegas, NV, United states, 2005, pp. 348-353. [3] D. C. D. Viegas and S. R. Cunha, 'Precise positioning by phase processing of sound waves,' IEEE Transactions on Signal Processing, vol. 55, pp. 5731-5738, 2007. [4] W. K. Pan and C. F. Xu, 'BioASLM: An efficient biology-inspired acoustic source localization model in indoor sensor networks,' Chinese Journal of Electronics, vol. 16, pp. 406-410, Jul 2007. [5] Y. S. Xiaojie Chen, Wenfeng Jiang, 'Speaker Tracking and Identifying based on Indoor Localization System and Microphone Array,' 21st International Conference on Advanced Information Networking and Applications Workshop(AINAW'07), 2007. [6] H. Atmoko, et al., 'Accurate sound source localization in a reverberant environment using multiple acoustic sensors,' Measurement Science & Technology, vol. 19, Feb 2008. [7] K. Nishihara, et al., 'Position detection of small objects in indoor environments using coded acoustic signal,' Nakaura 5th Bldg.,2-18-20 Sotokanda, Chiyoda-ku, Tokyo, 101-0021, Japan, 2008, pp. 15-20. [8] M. Shoji, 'Passive acoustic sensing of walking,' in 2009 5th International Conference on Intelligent Sensors, Sensor Networks and Information Processing, ISSNIP 2009, December 7, 2009 - December 10, 2009, Melbourne, Australia, 2009, pp. 219-224. [9] F. W. G. a. M. V. Barton, 'Ground loading from footsteps,' J.Acoust.Soc.Am., vol. 48, 1970. [10] 井上勝夫, '床彈性試驗用衝擊源の試作と住宅床の振動應答特性,' 日本建築學會計畫系論文集, p. 477, 1995. [11] A. H. A. Ebrahimpour, R. L. Sack, and W. N. Patten 'Measuring and modeling dynamic loads imposed by moving crowds,' J.Struct, vol. 122, pp. 1468-1474, 1996. [12] R. Z. Guowei Shen, and Reiner S. Thomä, 'Performance Comparison of TOA and TDOA Based Location Estimation Algorithms in LOS Environment,' PROCEEDINGS OF THE 5th WORKSHOP ON POSITIONING, NAVIGATION AND COMMUNICATION 2008 (WPNC’08), March 2008. [13] W.-H. Liau, 'Inhabitant Tracking and Service Provision in an Intelligent e-Home via Floor Load Sensors,' Master, Department of Computer Science & Information Engineering, National Taiwan University Taipei,Taiwan,R.O.C, 2005. [14] 林芳銘, '建築樓板步行衝擊振動預測模式之研究,' 碩士, 建築研究所, 國立成功大學, 台南, 台灣, 2001. [15] A. E. a. J. M. Sabatier, 'Vibration and sound signatures of human footsteps in buildings,' Acoustical Society of America, vol. 120, pp. 762–768, May 2006. [16] K. F. K.Kobayashi, and A.Kataoka, 'A sound source localization by using freely positioned microphones,' (in Japanese), Technical report of the Institute of Electronics, Inform Communication Engineers (IEICE), vol. 102, pp. 11-16, 2002. [17] M. Bear, and U. Kradolfer, 'Automatic phase picker for local and teleseismic event,' Bulletin of the Seismological Society of America, vol. 77, pp. 1437-1445, August 1987. [18] T. L. a. K. Klíma, 'A first arrival identification system of acoustic emission(AE) signals by means of a high-order statistics approach,' Measurement Science and Technology, vol. 17, pp. 2461-2466, August 2006. | |
| dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/45704 | - |
| dc.description.abstract | 目前室內定位技術多半為必須攜帶定位器的主動式系統，只能針對身上有定位識別器的活動者，時常攜帶在身上會造成生活上的麻煩，而被動式的定位系統又常常受到家俱與空間佈置或者其它雜訊的影響，所以本篇論文以改良上述的室內定位缺點為研究目標。
為了解決主動式定位器的困擾，決定採用步行最直接產生的訊號進行利用，於地板所產生的訊號可分為振動與聲音，經過初期研究後判定聲音訊號處理容易、儀器實用性高，因此將研究重點專注於步行聲源定位，不同於傳統麥克風陣列演算法多半以波源幾何方向角度進行定位，於本文中所推導的掃描最佳化法，在有限空間內掃描出誤差函數的最低點來尋找波源位置，巧妙避開了最佳化怕落入局部最小值的隱憂，也確定最佳化的計算量，誤差函數計算的優點允許感測器以散佈式排列進而增加室內家俱擺設的變動性，於文中也探討了感測器佈置方式對定位精準度的影響，進而做出感測器最佳擺法的建議。實驗中除了證實研究理論的可行性，並且找出會影響定位誤差的原因，例如受到生活中其他聲音雜訊干擾或者聲源傳遞路徑改變等。最後於未來展望將分成三個階段目標前進，最終目標為於智慧家庭中應用定位偵測結果。 | zh_TW |
| dc.description.abstract | Most of the current indoor positioning technology is the active systems which need to bring portable identification locators all the time. It will cause trouble in life. However, passive position systems have often been interfaced by furniture and space layout. The purpose of this research is to improve the above-mentioned disadvantages of indoor positioning technology.
Deciding to position the signal caused by footsteps .The signal induced by footsteps can be divided into vibration and sound, after the primary stage to study, we must judge sound is a better signal for analysis because processing easy and high equipment availability. Therefore, research priorities will focus on sound localization. Unlike most traditional microphone array algorithm positioned by the angle of wave source geometry, in which derived scanning optimization by scanning the graph of the error function and find the minimum region, cleverly avoiding falling into local minimum. The advantages of this method allow for the distributed sensor and thus increase the volatility of indoor furniture placement. This paper also discusses the layout of the sensors position influence the accuracy of positioning. Finally in the experiment to find out the reasons will affect the positioning error and provide improved methods. | en |
| dc.description.provenance | Made available in DSpace on 2021-06-15T04:44:52Z (GMT). No. of bitstreams: 1 ntu-99-R97543054-1.pdf: 8037137 bytes, checksum: ce9bfa403a6e38333c86304e6ec6a668 (MD5) Previous issue date: 2010 | en |
| dc.description.tableofcontents | 口試委員會審定書
致謝 i 中文摘要 ii ABSTRACT iii 目錄 iv 圖目錄 vii 表目錄 xiv 第一章 緒論 1 1.1 研究動機 1 1.2 文獻回顧 2 1.3 研究內容架構 3 第二章 定位理論 6 2.1 定位原理簡介 6 2.2 到達時間定位原理 (Time of Arrival;TOA) 6 2.2.1 TOA數學模型 6 2.2.2 最小二次方法(Least Square Method) 8 2.2.3 最佳化TOA定位法 9 2.3 到達時間差定位原理 (Time Difference of Arrival) 9 2.3.1 TDOA數學模型 9 2.3.2 最小次方法 11 2.3.3 最佳化TDOA定位法 12 2.4 小結 12 第三章 步行於地板定位 15 3.1 步行於地板的施力方式與所產生的聲音、振動訊號特徵 15 3.1.1 步行的施力方式 15 3.1.2 地板的振動、聲音訊號 17 3.2 掃描最佳化法 19 3.3 擷取波抵達時間原理 23 3.3.1 短視窗平均與長視窗平均比值法(STA/LTA) 23 3.3.2 高階統計法(High-Order-Statistics) 24 3.4 小結 25 第四章 感測器的最佳擺設方式 44 4.1 感測器佈置對定位誤差影響 44 4.2 大面積區域的感測器擺置概念 47 4.3 小結 49 第五章 數值算例-步行聲源訊號 60 5.1 波動方程式 60 5.2 步行聲源定位 62 5.3 小結 65 第六章 算例實驗 80 6.1 實驗儀器規劃 80 6.2 試驗一 室內衝擊音源定位-應用力學研究所(辦公室) 82 6.3 試驗二 連續步行音源定位-INSIGHT中心(主臥房) 84 6.4 試驗三 連續步行音源定位-應用力學研究所(洗手間) 87 6.5 小結 91 第七章 結論與未來展望 122 7.1 結論 122 7.2 未來展望 125 參考文獻 128 | |
| dc.language.iso | zh-TW | |
| dc.subject | 室內定位 | zh_TW |
| dc.subject | 步行 | zh_TW |
| dc.subject | TDOA原理 | zh_TW |
| dc.subject | 被動式聲源感測 | zh_TW |
| dc.subject | sensors position | en |
| dc.subject | Indoor position | en |
| dc.subject | TDOA | en |
| dc.subject | footsteps | en |
| dc.title | 室內步行聲源定位 | zh_TW |
| dc.title | Positioning of Indoor Floor Impact Sound Induced by Foot Steps | en |
| dc.type | Thesis | |
| dc.date.schoolyear | 98-2 | |
| dc.description.degree | 碩士 | |
| dc.contributor.oralexamcommittee | 童建樺,蔡崇道 | |
| dc.subject.keyword | 室內定位,被動式聲源感測,TDOA原理,步行, | zh_TW |
| dc.subject.keyword | Indoor position,sensors position,TDOA,footsteps, | en |
| dc.relation.page | 129 | |
| dc.rights.note | 有償授權 | |
| dc.date.accepted | 2010-08-08 | |
| dc.contributor.author-college | 工學院 | zh_TW |
| dc.contributor.author-dept | 應用力學研究所 | zh_TW |
| 顯示於系所單位： | 應用力學研究所 | |
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