無線射頻辨識技術被廣泛地運用在許多的領域，在物聯網、物流、辨識與定位的問題上也被廣泛討論，面對未來物品和人之間的互動與管理，我們期待使用電子標籤進行整合和溝通。也因此多標籤辨識的問題成為受到關注的議題，主要目的是希望能夠在短時間內同時辨識多個標籤，以增加處理的效率。

在本篇論文中，我們希望可以解決多標籤辨識在驗證階段過程中，耗費大量時間的問題，並且解決標籤碰撞的現象。我們使用傳播式概似信息傳遞演算法解決問題，可以防止標籤因為碰撞而產生辨識錯誤，並達到較傳統方法更低的傳遞位元數。加入分群策略可以達到運算效能的提升，並且討論與未分群做法的優劣，並透過適當分群達到運算複雜度的降低以及傳遞位元數的減少。

RFID wireless identification technology is widely used in Internet of Things (IoT), Logistics and Identity identification. In the future we will use multiple tags to mark objects in a large-scale management system. We need an efficient method to solve multiple tags identification problem.

In this thesis, we solve a multiple tags identification problem by the approximate message passing algorithm. The developed solutions can efficiently reduce time slots in the multiple tags Identification problem, and lower the number of transmission bits than the traditional method use Frame Slot Aloha (FSA) communication protocol. We divide the tags into more groups and allocate each group to the approximate message passing algorithm to reduce program execution time, and compare of with approximate message passing method without the grouping to discuss the pros and cons at execution time and Time spent on time slots

致謝 i
摘要 ii
Abstract iii
目錄 iv
圖次 v
第一章 緒論 1
1.1 研究背景 1
1.2 標籤碰撞現象與討論 4
1.3 研究動機 5
1.4 研究貢獻 5
第二章 無線射頻辨識技術標籤偵測問題介紹 6
2.1 Frame Slot Aloha(FSA)通訊協定介紹 6
2.2 Binary Search(BS)演算法 11
2.3 問題描述 14
第三章 信息傳遞演算法介紹 19
3.1 信息傳遞演算法介紹 19
3.2 傳播式概似訊息傳遞演算法介紹 25
第四章 模擬結果與分析 31
4.1 SwAMP解決多標籤辨識問題 31
4.2 加入分群策略應用 34
4.3 多標籤問題雜訊討論 41
第五章 結論與未來研究方向 44
5.1 結論 44
5.2 未來研究方向 45
參考文獻 46

[1] 艾生有限公司。[Online]. Available: http://www.alexan-tech.com/cht/about.html
[2] 黑貓宅急便。[Online]. Available: http://www.t-cat.com.tw/
[3] D. Klair, K.-W. Chin, and R. Raad, “A survey and tutorial of RFID anti-collision protocols,” IEEE Commun. , pp. 400–421, Surveys, 2010.
[4] L. A. Burdet, “RFID multiple access methods,” Technical Report. [Online]. Available: https://vs.inf.ethz.ch/edu/SS2004/DS/reports/06_rfid-mac_report.pdf.
[5] D. K. Klair, K.-W. Chin, and R. Raad, “On the suitability of framed aloha based RFID anti-collision protocols for use in RFID-enhanced WSNs,” in The 16th IEEE International Conference on Computer Communications and Networks (IEEE ICCCN’2007), Honolulu, Hawaii, Aug 2007.
[6] C. Angerer, R. Langwieser, and M. Rupp, “RFID reader receivers for physical layer collision recovery,” IEEE Trans. Commun., vol. 58, no. 12, pp. 3526–3537, Dec. 2010.
[7] J. Kaitovic, M. Simko, R. Langwieser, and M. Rupp, “Channel estimation in tag collision scenarios,” in Proc. of 2012 IEEE International Conference on RFID (RFID), Orlando, Florida, April 2012.
[8] K. Finkenzeller. RFID Handbook. John Wiley & Sons, 2010.
[9] D. L. Donoho, “Compressed sensing,” IEEE Trans. Info. Theory, vol. 52, no. 4, pp. 1289–1306, Apr. 2006.
[10] EPCglobal Inc. EPCglobal Class 1 Generation 2 V. 1.2.0. [Online]. Available: http://www.gs1.org/gsmp/kc/epcglobal/uhfc1g2.
[11] J. Wang, H. Hassanieh, D. Katabi, P. Indyk, “Efficient and reliable low-power backscatter networks,” in ACM SIGCOMM, 2012.

[12] M. Mayer, N. Goertz, and J. Kaitovic, “RFID tag acquisition via compressed sensing,” in Proceedings of IEEE RFID Technology and Applications Conference (RFID-TA), pp. 26–31, 2014.
[13] S. Rangan, “Generalized approximate message passing for estimation with random linear mixing,” in Proc. IEEE Int. Symp. Inf. Theory, St. Petersburg, Russia, pp. 2168–2172, Aug. 2011.
[14] D. L. Donoho, A. Maleki, and A. Montanari, “Message-passing algorithms for compressed sensing,” in Proc. National Academy of Sciences of the United States of America, vol. 106, no. 45, pp. 18914, 2009.
[15] A. Manoel, F. Krzakala, E. W. Tramel, and L. Zdeborová, “Sparse estimation with the swept approximated message-passing algorithm,” arXiv preprint 1406.4311, June 2014.
[16] D. J. Thouless, P. W. Anderson, and R. G. Palmer, “Solution of ‘solvable model of a spin glass’,” Philosophical Magazine, vol. 35, no. 3, pp. 593, 1977.
[17] M. Kaneko, W. Hu, K. Hayashi, and H. Sakai, “Compressed sensing-based tag identification protocol for a passive RFID system” IEEE Commun. Lett., vol. 18, no. 11, pp. 2023–2026, Nov. 2014
[18] J. P. Vila and P. Schniter, “Expectation-maximization gaussian-mixture approximate message passing,” IEEE Trans. Signal Process., vol. 61, pp. 4658–4672, Oct. 2013.