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| DC 欄位 | 值 | 語言 |
|---|---|---|
| dc.contributor.advisor | 陳昭宏 | |
| dc.contributor.author | Xiao-Qi Zhang | en |
| dc.contributor.author | 張孝奇 | zh_TW |
| dc.date.accessioned | 2021-06-16T04:01:12Z | - |
| dc.date.available | 2020-01-27 | |
| dc.date.copyright | 2015-01-27 | |
| dc.date.issued | 2014 | |
| dc.date.submitted | 2014-10-23 | |
| dc.identifier.citation | [1] T. Sanpechuda and L. Kovavisaruch, “A review of RFID localization: Applications and techniques,” in Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology, 2008.
[2] K. Al Nuaimi and H. Kamel, “A survey of indoor positioning systems and algorithms,” in Innovations in Information Technology (IIT), 2011. [3] P. Bahl and V.N. Padmanabhan, “RADAR: an in-building RF-based user location and tracking system,” in INFOCOM,2000. [4] T. Stoyanova, et al., “Evaluation of impact factors on RSS accuracy for localization and tracking applications,” in Proceedings of the 5th ACM international workshop on Mobility management and wireless access2007, Chania, Crete Island, Greece. pp. 9-16. [5] M. Wadhwa, et al., “The impact of antenna orientation on wireless sensor network performance,” in Computer Science and Information Technology, 2009. [6] A. Azenha, L. Peneda, and A. Carvalho, “Error analysis in indoors localization using ZigBee wireless networks,” in IECON,2010. [7] E.-F. Lee, C. Wang and L. Xiao, “A Study of Radio Signal Behaviors in Complex Environments,” Michigan State Univ., Tech. Rep. MSU- CSE-06-6, 2006. [8] S.N. Othman, “Node positioning in zigbee network using trilateration method based on the received signal strength indicator (RSSI),” European Journal of Scientific Research, vol. 46, pp. 048-061, 2010. [9] Y. Zheng and Y. Liu, “Quality of Trilateration: Confidence-Based Iterative Localization,” IEEE ICDCS, June 2008, pp.446-453 [10] B. Kim, W. Bong, and Y.C. Kim, “Indoor localization for Wi-Fi devices by cross-monitoring AP and weighted triangulation,” in Consumer Communications and Networking Conference (CCNC), 2011 IEEE. [11] H. Yang, Q. Wang,and Z. Liu, “A wireless sensor network DV-Hop localization algorithm,” in 2013 International Conference on Information Science and Computer Applications (ISCA 2013). 2013. Atlantis Press. [12] T. Hu, “A range-free wireless sensor networks localization algorithm,” in Engineering and Industries (ICEI), 2011. [13] C.-C. Hsiao, et al., “Towards long-term mobility tracking in NTU hospital's elder care center,” in Pervasive Computing and Communications Workshops (PERCOM Workshops), 2011. [14] J. Larranaga, et al., “An environment adaptive ZigBee-based indoor positioning algorithm,” in Indoor Positioning and Indoor Navigation (IPIN), 2010. [15] H.-H. Kuo, “WiFi Indoor Localization for Healthcare Monitoring Systems,” M.S. thesis, Dept. Comp. Sci., National Tsing Hua University., Hsingchu, Taiwan, 2013. [16] F.D. Rosa,et al, “Hand-grip and body-loss impact on RSS measurements for localization of mass market devices,” in Localization and GNSS (ICL-GNSS), 2011 International Conference on. 2011. IEEE. [17] F. D. Rosa, et al, “Human-Induced Effects on RSS Ranging Measurements for Cooperative Positioning,” International Journal of Navigation and Observation, 2012. | |
| dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/55414 | - |
| dc.description.abstract | 室內定位是近幾年熱門探討的重點，其中又以基於無線網路的定位技術，因為其成本及便利性，而得到眾多研究及應用的青睞。然而無線網路室內定位的精準度，深受無線電波信號強度值(RSSI)的影響，RSSI容易受到來自環境的干擾，如:反射、繞射干涉以及障礙物遮蔽，在對人進行定位時，需要讓其穿戴收發信號的裝置，此時無線電波的傳遞會受到人體遮蔽的影響，影響最後的定位結果。
本論文實際針對人體干擾進行了量測，當背對於節點時，收到的RSSI值會產生極大的衰減，直接使用三點定位法無法找到明確的定位結果。我們透過判斷人體正背面與各信號節點間的相對位置，來改善人體造成的影響，降低了定位的誤差，在只有一個節點受到人體遮蔽影響較嚴重時，可以降低平均約1.5公尺的定位誤差。 | zh_TW |
| dc.description.abstract | Indoor localization is a popular topic in recent years, especially WLAN-based localization because of its cost and convenience. Nevertheless, the accuracy of WLAN-based localization is mainly determined by the receive signal strength index (RSSI). RSSI is affected by many factors of surroundings: e.g. reflection of RF signals, NLOS to signal sources. In tracking localization of a person, the person must wear a device with RF transceivers. Due to human body shadowing of RF signals, the localization result is affected.
In this thesis, measurement of the human body shadowing of RF signals is focused. When facing away from a transmitter, human body shadowing will introduce a decay of RSSI value which hampers the localization finding with trilateration. In this thesis, the localization error caused by the human body is reduced by first determining the relative position of the human body and transmitters. Through the proposed method in this thesis, the localization error can be reduced by up to 1.5m when only one transmitter was affected by human body shadowing. | en |
| dc.description.provenance | Made available in DSpace on 2021-06-16T04:01:12Z (GMT). No. of bitstreams: 1 ntu-103-R01525050-1.pdf: 5655198 bytes, checksum: 3e1b6d72a8622fc98511bc787a23058a (MD5) Previous issue date: 2014 | en |
| dc.description.tableofcontents | 誌謝 i
中文摘要 ii ABSTRACT iii 圖目錄 vi 第一章 緒論 1 1.1 研究背景 1 1.1.1 定位介紹 1 1.1.2 Zigbee 5 1.2 研究動機、目的 6 1.3 論文章節簡介 7 第二章 相關研究 8 2.1 接收信號強度指示 8 2.2 接收信號強度指示法 10 2.3 接收信號強度實際於定位演算法中之應用 10 2.3.1 基於測距 10 2.3.2 無須測距 12 2.4 定位演算法選擇 16 2.5 人體影響 16 第三章 硬體與系統架構 17 3.1 系統架構 17 3.2 硬體介紹 18 3.2.1 無線收發模組 18 3.2.2 SmartRF05 Evaluation Board 19 3.2.3 SOC-BB 20 3.3 內部程式架構 21 3.3.1 信號發射節點 21 3.3.2 待定位節點 23 3.3.3 中央控制端 24 第四章 實驗結果 25 4.1 接收信號強度指示轉換距離 25 4.1.1 實測接收信號強度指示值 25 4.1.2 人體對於接收信號強度指示值的影響 27 4.2 定位實驗 28 4.2.1 實驗架設 28 4.2.2 接收信號強度指示值與距離轉換模型 30 4.3 定位實驗結果 34 4.4 定位結果分析 48 第五章 結論 51 參考文獻 52 | |
| dc.language.iso | zh-TW | |
| dc.subject | 室內定位 | zh_TW |
| dc.subject | 信號強度接收指示 | zh_TW |
| dc.subject | 人體效應 | zh_TW |
| dc.subject | indoor localization | en |
| dc.subject | RSSI | en |
| dc.subject | Human body shadowing | en |
| dc.title | 基於信號強度值之定位方法下改善因人體影響所造成之誤差 | zh_TW |
| dc.title | Improvement of the Localization Error caused by Human Body
for RSSI-based Localization | en |
| dc.type | Thesis | |
| dc.date.schoolyear | 103-1 | |
| dc.description.degree | 碩士 | |
| dc.contributor.oralexamcommittee | 張瑞益,江茂雄 | |
| dc.subject.keyword | 人體效應,信號強度接收指示,室內定位, | zh_TW |
| dc.subject.keyword | RSSI,indoor localization,Human body shadowing, | en |
| dc.relation.page | 53 | |
| dc.rights.note | 有償授權 | |
| dc.date.accepted | 2014-10-24 | |
| dc.contributor.author-college | 工學院 | zh_TW |
| dc.contributor.author-dept | 工程科學及海洋工程學研究所 | zh_TW |
| 顯示於系所單位： | 工程科學及海洋工程學系 | |
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