scholarly journals Improved noise isolation design of UHF mobile radio frequency identification reader system in package

Author(s):  
Yujeong Shim ◽  
Jongbae Park ◽  
Youngwon Kim ◽  
Kyoungchoul Koo ◽  
Joungho Kim
2020 ◽  
Vol 16 (10) ◽  
pp. 155014772096789
Author(s):  
Liqian Zhang ◽  
Xueliang Fu ◽  
Honghui Li

In order to guarantee the tag identification accuracy and efficiency in mobile radio frequency identification system, it is necessary to estimate the tags’ arrival rate before performing identification. This research aims to develop a novel estimation method based on improved grey model(1,1) and sliding window mechanism. By establishing tags’ dynamic arrival model, this article emphasizes the importance of tags’ arrival rate estimation in mobile radio frequency identification system. Using sliding window mechanism and weighted coefficients method, weighted grey model(1,1) with sliding window (WGMSW(1,1)) is proposed based on traditional grey model(1,1). For experimental verification, three kinds of data are used as original data in WGMSW(1,1). The experimental results show that the proposed method has lower estimation error rate, lower computation complexity, and high system stability.


2007 ◽  
Vol 49 (6) ◽  
pp. 1241-1245 ◽  
Author(s):  
Jeonghu Han ◽  
Younsuk Kim ◽  
Changkun Park ◽  
Dongho Lee ◽  
Songcheol Hong

2019 ◽  
Vol 15 (5) ◽  
pp. 155014771984604 ◽  
Author(s):  
Liqian Zhang ◽  
Xueliang Fu ◽  
Honghui Li

In the mobile radio-frequency identification system, the accuracy and rapidity of tag recognition are undergoing great challenges. In this article, we proposed a novel tag anti-collision identification method based on tags’ priority called RPA in the mobile radio-frequency identification system. The algorithm sets the priority of recognition according to the sequence of tag entering the recognition area. The reader does not recognize the tags with low priority until the ones with high priority have been identified totally. The experimental results show that when the tags’ moving speed is lower than 4 m/s, the system can identify the total tags without loss, and the efficiency and identification speed can reach 73.7% and 762 tags per unit, respectively.


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