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  • 學位論文

超高頻RFID碎型標籤天線設計

Design of UHF RFID Fractal Tag Antenna

指導教授 : 黃榮堂
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摘要


本論文所設計的標籤天線是以小型化以及貼附在物體上可被讀取為目的,其有著小尺寸、低功率、低成本、易製造、足夠的傳輸距離等優點。為了縮小標籤天線的尺寸,並提高此標籤天線的效能,因此利用Hilbert碎形結構作為天線的主體,可提高天線之操作頻寬、縮小天線尺寸與增益的提升。 本論文共設計三種標籤天線,針對所貼附的介質所設計的標籤天線,分別對未貼附任何物體、貼附地板與裝有水的容器所設計,所應用的頻段為台灣無線射頻辨識系統頻段(922~928 MHz),經讀取測試後,未貼附物體的標籤天線其最大讀取距離為5.02公尺,貼附地板的標籤天線最大讀取距離為70公分,而貼附在裝有水的容器上的標籤天線最大讀取距離為1.7公尺。

並列摘要


This thesis aims to develop miniaturized tag antennas that can be applied on objects. The novel tag antenna has features of low-power consumption, low cost, easy to fabricate, and sufficient transmission range. To increase the efficiency of this miniaturized antenna, we use Hilbert fractal structure. The Hilbert fractal structures can be used to enhance bandwidth and gain performance, while reduce the antenna size at the same time. In this study, we designed three types of tag antenna to accommodate three different operation scenarios: standalone (unattached to anything), attached to floor, and to water containers. We use the UHF RFID band in Taiwan, which is 922~928 MHz. The test result shows that the standalone tag could be read as far as 5.02 meters. The maximum reading range from tags attached on floor is 0.7 meters. The tags on water containers could be read from a maximum distance of 1.7 meters.

參考文獻


[1] John R. Tuttle, “Traditional and emerging technologies and applications in the radio frequency identification (RFID) industry,” Micron Communications, Inc., IEEE, 1997.
[2] L. Xu, B.J. Hu and J. Wang, “UHF RFID tag antenna with broadband
[5] S. Jia, J. Sheng and Kunikatsu Takase, “Human Recognition Using RFID System with Multi-Antenna,” Proceedings of the 2008 IEEE/ASME International Conference on Advanced Intelligent Mechatronics, July. 2008, pp.1213-1218.
[6] M. Kim, and N. Y. Chong, “Direction Sensing RFID Reader for Mobile Robot Navigation,” IEEE Transactions on Automation Science and Engineering, vol. 6, Jan. 2009, pp.44-54.
[8] Angus F. C. Errington, Brian L. F. Daku and Arnfinn Prugger, “Initial In–Mine Position Estimation Using RFID Tags,” Vehicular Technology Conference , Sept. 2008.

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