Affiliations: Electrical and Electronic Engineering Institute Baoji University of Arts and Sciences, Baoji, Shaanxi, China
Corresponding author: Li Ming, Electrical and Electronic Engineering Institute Baoji University of Arts and Sciences, No. 44, Baoguang Road, Baoji, Shaanxi, 721016, China. E-mail: [email protected].
Abstract: In view of the problem that the traditional LANDMARC location algorithm has low indoor location precision and needs to arrange a large number of reference tags, this paper proposes an RFID positioning algorithm based on the integration of the electronic tracking and positioning system (ETPS), which uses the Gauss filter to carry out the sampling data of the reference label. Using the electronic tracking and positioning algorithm to estimate the signal strength of other locations to expand the signal database. The experimental results show that the algorithm improves the accuracy of the indoor location and reduces the workload of the layout of the reference labels. The completeness and effectiveness of the proposed algorithm are verified.
Keywords: RFID positioning algorithm, electronic tracking and positioning system (ETPS), data processing, precision