Indoor Localization Algorithm Based on Real-Time Minimal Difference Fingerprint in NLoS Mobile Environment 


Vol. 45,  No. 7, pp. 1234-1240, Jul.  2020
10.7840/kics.2020.45.7.1234


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  Abstract

Recently, as the spread of smart devices increases, interest in indoor positioning is increasing. In accordance with this trend, this paper proposes the RMDFA (real-time minimal difference fingerprint algorithm) with higher real-time processing speed and localization accuracy compared to conventional indoor localization algorithm in an obstacle-based non-line of sight (NLoS) mobile environment. In addition, in this paper, the performance of the proposed algorithm (RMDFA) is compared with the GFA (general fingerprint algorithm) and the GDFA (Gaussian distribution fingerprint algorithm) for localization accuracy, average and maximum cumulative error distances, and average measurement time. As a result of the experiment, it was confirmed that the proposed RMDFA has an indoor localization accuracy of 98.6% and an indoor localization measurement time reduction of more than 37% compared to GFA and GDFA.

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  Cite this article

[IEEE Style]

T. Kim and D. M. Lee, "Indoor Localization Algorithm Based on Real-Time Minimal Difference Fingerprint in NLoS Mobile Environment," The Journal of Korean Institute of Communications and Information Sciences, vol. 45, no. 7, pp. 1234-1240, 2020. DOI: 10.7840/kics.2020.45.7.1234.

[ACM Style]

Tae-Wan Kim and Dong Myung Lee. 2020. Indoor Localization Algorithm Based on Real-Time Minimal Difference Fingerprint in NLoS Mobile Environment. The Journal of Korean Institute of Communications and Information Sciences, 45, 7, (2020), 1234-1240. DOI: 10.7840/kics.2020.45.7.1234.

[KICS Style]

Tae-Wan Kim and Dong Myung Lee, "Indoor Localization Algorithm Based on Real-Time Minimal Difference Fingerprint in NLoS Mobile Environment," The Journal of Korean Institute of Communications and Information Sciences, vol. 45, no. 7, pp. 1234-1240, 7. 2020. (https://doi.org/10.7840/kics.2020.45.7.1234)

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pISSN : 1226 - 4717
eISSN : 2287 - 3880