Earticle

초록

영어

Due to the uncertainty of the RFID measurements and limit of the placement of the readers, it’s necessary to use the estimation method to obtain more accurate trajectory in RFID indoor tracking system. While the traditional recursive estimation from K to K +1 sampling point may fail, because the measurement of RFID system is irregular sampling due to the data-driven measurement mechanism. This paper develops the tracking method for indoor RFID system, including estimation dynamic model based on the estimated states and nonlinear fusion estimation algorithm for variable-irregular sampling measurements. Two estimation methods were given based on the Extended Kalman filter (EKF) and Unscented Kalman filter (UKF), respectively. The tracking performances are compared and the simulation results show that the performance of UKF can get better performance for indoor RFID tracking, especially in the low detection rate area.

목차

Abstract
 1. Introduction
 2. System Model with the Irregular Sampled Measurements
 3. EKF Tracking With Variable Number Of RFID Readers
 4. UKF Tracking with Variable Number of RFID Readers
 5. Simulations
 6. Conclusions
 References

키워드

저자

• Jin Xue-Bo [ School of Computer and Information Engineering Beijing Technology and Business University Beijing, 100048, China ] Corresponding author
• Nie Chun-Xue [ School of Computer and Information Engineering Beijing Technology and Business University Beijing, 100048, China ]
• Shi Yan [ School of Computer and Information Engineering Beijing Technology and Business University Beijing, 100048, China ]
• Su Ting-Li [ School of Computer and Information Engineering Beijing Technology and Business University Beijing, 100048, China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Control and Automation

• 간기

  월간

• pISSN

  2005-4297

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605