Abstract—Traditional indoor localization method based on the received signal strength (RSSI) has many drawbacks, such as the low localization accuracy, the high hardware requirements, and the complex algorithm. It is essential to create a robust system that can be suitable for varying indoor environment. In order to solve this problem, an automatic calibration indoor target signal positioning system is proposed in the paper, it can be used to process large-scale and real-time positioning. The system is based on the analysis of large amount measurement during the intensive experiments, mainly including low-complexity Gaussian Filter (GF), Virtual Calibration Technology (VCT), Probabilistic Positioning Algorithm (PPA) and People Pace Model (PPM). In the actual indoor environment, the algorithm is verified by MATLAB simulation. The results show that 100% of the average position error is 57cm, and 70% of the average position error is 15cm, this indoor localization method can be applied to the actual location environment.
Index Terms—Indoor positioning, RSSI, automatic calibration, large-scale localization, people pace model
Cite: Zhitao Zhang, Ye Yin, Haoqian Wei, and Wei Tang, “An Automatic Calibration of Large-Scale Indoor Target Signal Positioning System," Journal of Communications, vol. 11, no. 6, pp. 598-608, 2016. Doi: 10.12720/jcm.11.6.598-608
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