Improved Kalman Filter Method for Measurement Noise Reduction in Multi Sensor RFID Systems

Article, Other literature type English OPEN
Eom, Ki Hwan; Lee, Seung Joon; Kyung, Yeo Sun; Lee, Chang Won; Kim, Min Chul; Jung, Kyung Kwon;
  • Publisher: Molecular Diversity Preservation International (MDPI)
  • Journal: Sensors (Basel, Switzerland), volume 11, issue 11, pages 10,266-10,282 (issn: 1424-8220, eissn: 1424-8220)
  • Publisher copyright policies & self-archiving
  • Identifiers: pmc: PMC3274283, doi: 10.3390/s111110266
  • Subject: measurement noise reduction | TP1-1185 | Kalman filter | multi-sensing environment | Chemical technology | neural network | smart RFID tags | Article

Recently, the range of available Radio Frequency Identification (RFID) tags has been widened to include smart RFID tags which can monitor their varying surroundings. One of the most important factors for better performance of smart RFID system is accurate measurement fr... View more
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