Indoor Localization Algorithm Using Smartphone Sensors and Probability of Normal Distribution in Wi-Fi Environment 


Vol. 40,  No. 9, pp. 1856-1864, Sep.  2015


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  Abstract

In this paper, the localization algorithm for improving the accuracy of the positioning using the Wi-Fi fingerprint using the normal distribution probability and the built-in typed accelerometer sensor, the gyroscope sensor of smartphone in the indoor environment is proposed. The experiments for analyzing the performance of the proposed algorithm were carried out at the region of the horizontal and vertical 20m * 10m in the engineering school building of our university, and the performance of the proposed algorithm is compared with the fingerprint and the DR (dead reckoning) while user is moving according to the assigned region. As a result, the maximum error distance in the proposed algorithm was decreased to 2cm and 36cm compared with two algorithms, respectively. In addition to this, the maximum error distance was also less than compared with two algorithms as 16.64cm and 36.25cm, respectively. It can be seen that the fingerprint map searching time of the proposed algorithm was also reduced to 0.15 seconds compared with two algorithms.

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  Cite this article

[IEEE Style]

J. Lee and D. M. Lee, "Indoor Localization Algorithm Using Smartphone Sensors and Probability of Normal Distribution in Wi-Fi Environment," The Journal of Korean Institute of Communications and Information Sciences, vol. 40, no. 9, pp. 1856-1864, 2015. DOI: .

[ACM Style]

Jeong-Yong Lee and Dong Myung Lee. 2015. Indoor Localization Algorithm Using Smartphone Sensors and Probability of Normal Distribution in Wi-Fi Environment. The Journal of Korean Institute of Communications and Information Sciences, 40, 9, (2015), 1856-1864. DOI: .

[KICS Style]

Jeong-Yong Lee and Dong Myung Lee, "Indoor Localization Algorithm Using Smartphone Sensors and Probability of Normal Distribution in Wi-Fi Environment," The Journal of Korean Institute of Communications and Information Sciences, vol. 40, no. 9, pp. 1856-1864, 9. 2015.

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pISSN : 1226 - 4717
eISSN : 2287 - 3880