Abstract
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.
Highlights
In recent years, along with wireless and other various technologies, the rapid development of mobile computing and radio frequency identification (RFID) technology has received an increased attention with respect to the indoor positioning technology [1]
We have enhanced our boundary virtual reference label (BVIRE) algorithm by utilizing RFID techniques to further improve the positioning precision for locating the tracking object and to effectively remove the large number of tags, which gives a higher presicion in the obtained results
The proposed BVIRE algorithm keeps out the virtual tags in an effective way to minimize the amount of reference tags and to evaluate the location of target object
Summary
Along with wireless and other various technologies, the rapid development of mobile computing and radio frequency identification (RFID) technology has received an increased attention with respect to the indoor positioning technology [1]. To improve the positioning accuracy of the boundary label system without increasing the system cost, this paper proposes a BVIRE algorithm that adds a virtual reference tag at the boundary using a linear regression model (LRM) and removes any redundant positioning information to identify and locate tracking objects. Such a methodology is suitable to be applied in a large area and operates well in complex and closed indoor environments. The system suffers from a disadvantage in which each antenna has a narrow cone of influence that leads to an expensive deployment and a larger system investment [13]
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