A Comprehensive Method to combine RFID Indoor Targets Positioning with Real Geographic Environment

Huang Weiqing1, 2, Ding Chang1, 3 and Wang Siye1, 2, 3

  1. Institute of Information Engineering, CAS
    Beijing 100093, China
    {huangweiqing, dingchang, wangsiye}@iie.ac.cn
  2. School of Computer and Information Engineering
    Beijing Jiaotong University, Beijing 100044, China
  3. Beijing Key Laboratory of IOT Information Security
    Beijing 100093, China


Nowadays RFID indoor targets positioning results display methods are simplified. The positioning results visual effect is also unsatisfied. To solve this problem, we design and realize a comprehensive method to implement RFID indoor localization algorithms in a geographic information system. In our method, the RFID indoor targets positioning results can display in the real geographic environment, which can improve the application value of the results. First, we establish the geographic environment using geographic information system in order to combine RFID indoor positioning results with the real environment. Then we design a distributed system architecture to filter the useless data and implement the positioning algorithm. In this way, indoor targets real-time positioning and the results visualization display are realized. And the positioning results can also be combined with the real geographic information environment. System test results indicate that this method achieves ideal indoor positioning data display effect under well indoor-positioning precision.

Key words

indoor localization algorithm, geographic information system, data visualization display

Digital Object Identifier (DOI)


Publication information

Volume 12, Issue 4 (November 2015)
Special Issue on Recent Advances in Information Processing, Parallel and Distributed Computing
Year of Publication: 2015
ISSN: 1820-0214 (Print) 2406-1018 (Online)
Publisher: ComSIS Consortium

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How to cite

Weiqing, H., Chang, D., Siye, W.: A Comprehensive Method to combine RFID Indoor Targets Positioning with Real Geographic Environment. Computer Science and Information Systems, Vol. 12, No. 4, 1149–1169. (2015), https://doi.org/10.2298/CSIS141114048W