A Passive RFID based Indoor Localization System for Choke Point Monitoring

碩士 === 國立臺北科技大學 === 電子工程系研究所 === 104 === Radio frequency identification (RFID), is one of the most widely used sensing technique in recent years. RFID device can be categorized into two types, which are active RFID and passive RFID. Passive RFID characterized with several advantages, including low c...

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Bibliographic Details
Main Authors: JHIH-YAO FANG, 方致堯
Other Authors: Rong-Shue Hsiao
Format: Others
Language:zh-TW
Online Access:http://ndltd.ncl.edu.tw/handle/s8hn75
Description
Summary:碩士 === 國立臺北科技大學 === 電子工程系研究所 === 104 === Radio frequency identification (RFID), is one of the most widely used sensing technique in recent years. RFID device can be categorized into two types, which are active RFID and passive RFID. Passive RFID characterized with several advantages, including low cost, easily wearable, and without additional power supply device. Hence, passive RFID has been massively applied to access control. Traditional passive RFID access control system monitors personnel access with the proximity between tag and reader. However, this method cannot prevent unauthorized personnel from entering or leaving monitoring area when the door is opened by the authorized personnel. The real-time indoor locating system can be used to solve this problem. When unauthorized personnel enter into the monitoring area and the door is open, the alert signal is issued immediately. This thesis proposes a passive RFID-based indoor locating system for access control. Firstly, the target area is identified by the intersection of antenna’s sensing coverage. Then the location fingerprinting technique is used to estimate more accurate target position. When authorized personnel enter into the monitoring area, the target position and moving direction can be detected. The authorized personnel approach to the entrance can be determined as well. The experimental result shows that the identification rate of target area can reach to 97.3%; the cumulative distribution function (CDF) achieves 90% within 50 cm error distance. Additionally, the response time of location estimation can meet the real time requirement.