簡易檢索 / 詳目顯示

研究生: 劉哲銓
Liu, Jer-Chiuan
論文名稱: 藍芽室內定位準確度之研究
A Study on the Accuracy of Bluetooth Indoor Localization
指導教授: 徐爵民
Shyu, Jyuo-Min
口試委員: 王廷基
Wang, Ting-Chi
郭倫嘉
Kuo, Jeremy
學位類別: 碩士
Master
系所名稱: 電機資訊學院 - 資訊系統與應用研究所
Institute of Information Systems and Applications
論文出版年: 2019
畢業學年度: 107
語文別: 中文
論文頁數: 37
中文關鍵詞: 藍芽室內定位準確度指紋比對藍芽訊號發射器參考點
外文關鍵詞: Bluetooth indoor localization, accuracy, fingerprinting, beacon, reference point
相關次數: 點閱:2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
  • 近幾年來室內定位的廣泛應用使得它受到了不少關注,許多提高定位準確度的方法不斷被提出。由於指紋比對(Fingerprinting)準確度比三角定位(Trilateration)高,因此我們使用指紋比對作為本論文的藍芽定位方法。我們研究了不同藍芽訊號發射器(Beacon) 布置方式以及不同參考點(ReferencePoint)間距對定位準確度的影響,結果顯示準確度會隨著藍芽訊號發射器間距增加而降低;而參考點則是密度越高定位越準確。我們在三個大型場域中建置定位系統,並用指紋比對進行即時定位測試,檢驗場地建置與定位方法能否達到系統建置要求。


    Indoor localization, due to its widespread applications, has received a lot of attention in recent years; many techniques have been proposed in order to increase the localization accuracy. In this thesis, we adopt fingerprinting technique for Bluetooth indoor localization (due to its better performance compared to the trilateration method). We investigated the effects of beacon deployment and reference point density on the localization accuracies. Our experiments show that the localization accuracy deteriorates as the distance between beacons increases; while the accuracy improves as reference points become denser. The proposed fingerprinting technique is implemented in three commercial fields (with large-area Bluetooth beacon deployments); real-time tests are also conducted to see if the localization accuracy requirements are satisfied.

    摘要 目錄 圖目錄 . . . . . . . . . . . . . . . . 3 表目錄 . . . . . . . . . . . . . . . . 5 1 前言 . . . . . . . . . . . . . . . . 6 2 藍芽室內定位方法 . . . . . . . . . . . . . . . . 8 2.1 藍芽訊號發射器 (Beacon) . . . . . . . . . . . . . . . . . . . . 8 2.2 三角定位 (Trilateration) . . . . . . . . . . . . . . . . . . . 10 2.3 指紋比對 (Fingerprinting) . . . . . . . . . . . . . . . . . . . 12 2.3.1 離線訓練 (OfflineTraining) . . . . . . . . . . . . . . . . . 13 2.3.2 線上測試 (onlinetesting) . . . . . . . . . . . . . . . . . . 14 2.4 指紋比對與三角定位之比較 . . . . . . . . . . . . . . . . . . . . 15 3 訊號發射器與參考點間距對誤差之影響 . . . . . . . . . . . . . . . . 19 3.1 藍芽發射器間距對誤差影響 . . . . . . . . . . . . . . . . . . . . 19 3.2 參考點間距對誤差影響 . . . . . . . . . . . . . . . . . . . . . . 22 4 場域實測 . . . . . . . . . . . . . . . . 23 5 結論 . . . . . . . . . . . . . . . . 35 参考文献 . . . . . . . . . . . . . . . . 36

    [1] F.Zafari, A.Gkelias, and K.K.Leung,“A survey of indoor localization systems and technologies,” CoRR, vol. abs/1709.01015, 2017.
    [2] S. S. Chawathe, “Beacon placement for indoor localization using bluetooth,” in 2008 11th International IEEE Conference on Intelligent Transportation Systems, pp.980–985, Oct 2008.
    [3] W. He, P.-H. Ho, and J. Tapolcai, “Beacon deployment for unambiguous positioning,”IEEE Internet of Things Journal, vol.4, pp.1370–1379,2017.
    [4] J. Rezazadeh, R. Subramanian, K. Sandrasegaran, X. Kong, M. Moradi, and F. Khodamoradi, “Novel ibeacon placement for indoor positioning in iot,” IEEE Sensors Journal, vol. 18, pp.10240–10247, Dec 2018.
    [5] Y.-C. Pu and P.-C. You, “Indoor positioning system based on ble location fingerprinting with classification approach,” Applied Mathematical Modelling, vol.62, pp.654–663, Oct 2018.
    [6] A. Rai, K. K. Chintalapudi, V. N. Padmanabhan, and R. Sen, “Zee: Zero-effort crowdsourcing for indoor localization,” in Proceedings of the 18th Annual International Conference on Mobile Computing and Networking, Mobicom’12,(NewYork,NY, USA), pp.293–304, ACM, 2012.
    [7] P.Lazik, N.Rajagopal, O.Shih, B.Sinopoli, and A.Rowe, “Alps: A bluetooth and ultrasound platform for mapping and localization,” in Proceedings of the 13th ACM Conference on Embedded Networked Sensor Systems, SenSys ’15, (New York, NY, USA), pp.73–84, ACM, 2015.
    [8] A. Alarifi, A. S. Al-Salman, M. Alsaleh, A. Alnafessah, S. Alhadhrami, M. A. Al-Ammar, and H. S. Al-Khalifa, “Ultra wideband indoor positioning technologies: Analysis and recent advances,” in Sensors, pp.1–36, 2016.
    [9] H. Wang, S. Sen, A. Elgohary, M. Farid, M. Youssef, and R. R. Choudhury, “No need to war-drive: Unsupervised indoor localization,” in Proceedings of the 10th International Conferenceon Mobile Systems, Applications, and Services, MobiSys’12,(New York,NY,USA), pp.197–210, ACM, 2012.
    [10] J. Chung, M. Donahoe, C. Schmandt, I.-J. Kim, P. Razavai, and M.Wiseman,“Indoor location sensing using geo-magnetism,” in Proceedings of the 9th International Conference on Mobile Systems, Applications, and Services, MobiSys’11,(NewYork,NY, USA), pp.141–154, ACM, 2011.
    [11] N.Ravi, P.Shankar, A.Frankel, A.Elgammal, and L.Iftode, “Indoor localization using camera phones,” in Seventh IEEE Workshop on Mobile Computing Systems Applications (WMCSA’06 Supplement), vol.Supplement, pp.1–7, Aug 2007.
    [12] J.Z.Liang, N.Corso, E.Turner, and A.Zakhor, “Image based localization in indoor environments,” in 2013 Fourth International Conference on Computing for Geospatial Research and Application, pp.70–75, July 2013.
    [13] F. Zanettin, “How to calculate distance from the rssi value of the ble beacon.” , 2016. [Online]. Available: https://iotandelectronics.wordpress.com/2016/10/07/how-tocalculate-distance-from-the-rssi-value-of-the-ble-beacon/. [Accessed: 9-March-2019].
    [14] B.T.Fang, “Simple solutions for hyperbolic and related position fixes,” IEEE Transactions on Aerospace and Electronic Systems, vol.26, pp.748–753, Sep.1990.

    QR CODE