Variable Number of Multi-Sensor Fusion for Indoor RFID Tracking System
Xue Bo Jin, Jiang Feng Wang, Hui Yan Zhang, Li Hong Cao · Applied Mechanics and Materials · 2013
We present a new method to accurately tracking persons indoors by active RFID technology. To deal with nonlinear measurement model, the EKF(extended Kalman filter) is used to estimate the target trajectory. This paper developed the fusion estimation algorithm for the common indoor tracking problem with the reader at any location and fusion estimation with variable number of multi-sensor system. Simulations show the algorithm developed here can adaptively adjust the model parameter while tracking and obtain good estimation performance for indoor RFID tracking.