Implementation of Indoor Location Tracking System Using ETOA Algorithm in Non-Line-Of-Sight Environment 


Vol. 37,  No. 4, pp. 300-308, Apr.  2012


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  Abstract

Many indoor location tracking technologies have been proposed. Generally indoor location tracking using TOA signal is used, there is a weak point that it’s difficult to track the location due to obstacles like a refraction, reflection and dispersion of radio wave. In this paper, we apply ETOA(Estimated-TOA) algorithm in NLOS(Non-Line-Of-Sight) environment to solve above problem. In NLOS environment, TOA value between Beacon and Mobile node is predicted by ETOA algorithm and the tracking of indoor location is also possible to identify using two NLOS beacons of three beacons by this algorithm. We show that the proposed algorithm is accurate location tracking is accomplished using the applying the proposed algorithm to indoor moving robot and the inertia sensor of robot and Kalman filter algorithm.

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  Cite this article

[IEEE Style]

K. Kang and G. Choi, "Implementation of Indoor Location Tracking System Using ETOA Algorithm in Non-Line-Of-Sight Environment," The Journal of Korean Institute of Communications and Information Sciences, vol. 37, no. 4, pp. 300-308, 2012. DOI: .

[ACM Style]

Kyeung-sik Kang and Goang-seog Choi. 2012. Implementation of Indoor Location Tracking System Using ETOA Algorithm in Non-Line-Of-Sight Environment. The Journal of Korean Institute of Communications and Information Sciences, 37, 4, (2012), 300-308. DOI: .

[KICS Style]

Kyeung-sik Kang and Goang-seog Choi, "Implementation of Indoor Location Tracking System Using ETOA Algorithm in Non-Line-Of-Sight Environment," The Journal of Korean Institute of Communications and Information Sciences, vol. 37, no. 4, pp. 300-308, 4. 2012.

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pISSN : 1226 - 4717
eISSN : 2287 - 3880