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Received Signal Strength Database Interpolation by Kriging for a Wi-Fi Indoor Positioning System
Shau-Shiun Jan1, Shuo-Ju Yeh2, Ya-Wen Liu3
1Department of Aeronautics and Astronautics, National Cheng Kung University, Tainan 70101, Taiwan. ssjan@mail.ncku.edu.tw.
This study introduces a Wi-Fi indoor positioning system using Kriging interpolation to create a received signal strength (RSS) database, reducing manual effort and improving accuracy. The Kriging method enhances Wi-Fi positioning by minimizing errors and saving time.
Area of Science:
- Computer Science
- Electrical Engineering
- Geospatial Analysis
Background:
- Wi-Fi indoor positioning systems commonly use received signal strength (RSS) fingerprinting.
- Creating RSS fingerprint databases is labor-intensive and time-consuming, especially for large areas.
Purpose of the Study:
- To develop an efficient Wi-Fi indoor positioning system that reduces the labor required for database creation.
- To improve the accuracy of indoor positioning by employing a spatial interpolation method.
Main Methods:
- Utilized the Kriging algorithm for spatial interpolation to generate an extended RSS fingerprint database.
- Developed a Wi-Fi indoor positioning system integrating the Kriging fingerprinting method.
- Modeled Wi-Fi access point signal propagation characteristics using reference point data.
Main Results:
- The Kriging-extended RSS database showed an error of less than 3 dBm with 72.2% probability compared to surveyed databases.
- The developed Wi-Fi indoor positioning system with Kriging achieved an average reduction in positioning error of 17.9%.
Conclusions:
- The Kriging fingerprinting method effectively creates RSS databases, reducing manual effort and time.
- The proposed Wi-Fi indoor positioning system demonstrates improved accuracy and efficiency through spatial interpolation.
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