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bvire improved algorithm for indoor localization based on RFID and a linear regression model

TURKISH JOURNAL OF ELECTRICAL ENGINEERING AND COMPUTER SCIENCES 2018年第6期26卷 2943-2957页

作者： Bahaaldin, Noor Ercelebi, Ergun Univ Technol Baghdad Dept Comp Engn Baghdad Iraq Gaziantep Univ Fac Engn Dept Elect & Elect Engn Gaziantep Turkey

Traditional indoor location technologies such as infrared technology and ultrasonic technology are complex, expensive, or having unsatisfactory location accuracy. Radio frequency identification (RFID) technologies are very popular in many areas since their costs are very low. The tag in such technologies acts as the transmitter, and the radio signal strength indicator (RSSI) information is measured at the reader. However, RSSI information suffers strictly from the multipath circumstance and circumferential elements. Therefore, the localization accuracy of the boundary will be affected severely. In order to solve this problem, we introduce the boundary virtual reference label (bvire) algorithm to well utilize RFID techniques for locating the tracking object, which inserts some virtual reference tags on the boundary by establishing a linear regression model that eliminates unwanted tag information from the estimation procedure. The positioning accuracy of the boundary tags and stability have been improved significantly, at least 78%, without adding extra reference tags or radio frequency interference. Also, the estimation errors of our improved bvire are much smaller compared to the virtual reference label, location identification based on the dynamic active RFID calibration (LANDMARC), ultrawide band, RADAR, and PinPoint algorithms.

关键词： bvire algorithm linear regression model RFID indoor location RSSI

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Advanced boundary virtual reference algorithm for an indoor system using an active RFID interrogator and transponder

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ANALOG INTEGRATED CIRCUITS AND SIGNAL PROCESSING 2016年第3期88卷 415-430页

作者： Aldin, Noor Baha Ercelebi, Ergun Aykac, Mahmut Gaziantep Univ Dept Elect & Elect Engn Gaziantep Turkey

Localization of persons and objects has become a necessity in many industrial services. In indoor circumstances, radio frequency identification (RFID) has superior performance. However, radio signals within indoor environments are generally weak, and the tags have very restricted abilities. In addition, the multipath propagation, total cost, and signal interference increase with increasing number of reference tags over a certain limit. Therefore, to improve the performance of indoor positioning for real-time localization, a new active acquisition method for an active RFID system that works at 2.4 GHz has been proposed;it is called the boundary virtual reference (bvire) algorithm. It depends on boundary virtual reference tags rather than increasing the number of real reference tags, which in turn reduces the total cost while maintaining the location accuracy. We have implemented a linear regression method to further enhance the positioning accuracy while eliminating the unnecessary tags from the estimation method using event filtering, in which only a few neighbouring reference tags are helpful in deciding the location of the object tag. The experimental results show that our bvire algorithm considerably reduces the error estimation compared with previous algorithms. The system has enhanced the positioning accuracy and lowered the total costs. In addition, the localization precision of the proposed approach has been significantly increased to approximately 90.25 % compared with PinPoint algorithm with no additional reference tags or radio frequency interference;this represents a significant improvement over other algorithms.

关键词： Active RFID Virtual reference tags bvire algorithm Positioning system RSSI

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