RFID Indoor Positioning Based on RBF Interpolation and QPSO

Aiming to reduce the drawbacks of traditional VIRE approach, such as inaccurate boundary positioning and poor results of virtual tags using linear interpolation, we propose a new algorithm based on Radial Basis Functions (RBF) interpolation method and Quantum-behaved Particle Swarm Optimization (QPSO) in this paper. In order to simulate the actual loss of RSSI better, the proposed approach uses smooth global RBF interpolation. In addition, QPSO is introduced to estimate the coordinates of tracking tags by conducting the objective function under optimized concepts. Numerical simulated experiments show that the general accuracy of the new method is approximately 0.167 meters, enjoying 84.5% increase compared to VIRE algorithm. Therefore, this approach has a relative high positioning precision. Key-Words: RFID, Indoor Positioning Algorithm,RBF,QPSO