碩士 / 國立雲林科技大學 / 電機工程系 / 102 / This paper proposes Kalman-filter drift removal and Heron-bilateration location estimation to significantly reduce the RSSI drift, localization error, computational complexity, and deployment cost of conventional Radio Frequency IDentification (RFID) indoor positioning systems without any sacrifice of localization granularity and accuracy. By means of only one portable RFID reader as the targeted device and only one pair of active RFID tags as the border-deployed landmarks, this paper develops a real-time portable RFID indoor positioning device and cost-effective scalable RFID indoor positioning infrastructure, based on Kalman-filter drift removal, Heron-bilateration location estimation, and 4 novel pre-/post-processing techniques. Experimental results reveal that the proposed Kalman-filter drift removal method is faster and better to converge the distance measurement error than conventional probability/statistics in terms of various relative distances under certain RSSI drift effect condition, and the proposed Heron-bilateration location estimation method is also faster and better to converge the location estimation error than conventional proximity pattern matching and trilateration in terms of three or more landmarks under certain distance measurement error condition. On the other hand, a portable RFID indoor positioning device is smoothly implemented on Android smartphone platform attached with a portable Bluetooth-based RFID reader.
| Identifer | oai:union.ndltd.org:TW/102YUNT0441007 |
| Date | January 2014 |
| Creators | Lang-Long Wu, 吳連榮 |
| Contributors | Chian-Cheng Ho, 何前程 |
| Source Sets | National Digital Library of Theses and Dissertations in Taiwan |
| Language | zh-TW |
| Detected Language | English |
| Type | 學位論文 ; thesis |
| Format | 46 |
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