Abstract:

In order to solve low positioning accuracy and high cost in traditional positioning methods, the PSObased RFID positioning approach is proposed. Firstly,aiming at the interference of environmental factors on the signals,Gaussian Smoothing Filter is adopted to preprocess RSSI(Received Signal Strength Indicator) values.Secondly,based on gridstyle reference tags,PSO algorithm is introduced to estimate the optimal positions of tracking tags by several iterations,thus improving the positioning accuracy.Finally,the RSSI values of virtual reference tags are calculated by Lagrange interpolation,so as to be more close to the values of real tags.Experimental results demonstrate that the proposed approach has excellent accuracy,high efficiency and low cost in indoor positioning.

Key words: PSO;Gaussian filtering;RFID indoor positioning;VIRE;Lagrange interpolation