The Compensation Algorithm for Localization Using the Least-Squares Method in NLOS Environment 


Vol. 37,  No. 4, pp. 309-316, Apr.  2012


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  Abstract

The compensation algorithm for localization using the least-squires method in NLOS(Non Line of Sight) environment is suggested and the performance of the algorithm is analyzed in this paper. In order to improve the localization correction rate of the moving node, 1) the distance value of the moving node that is moving as an constant speed is measured by SDS-TWR(Symmetric Double-Sided Two-Way Ranging); 2) the location of the moving node is measured using the triangulation scheme; 3) the location of the moving node measured in 2) is compensated using the least-squares method. By the experiments in NLOS environment, it is confirmed that the average localization error rates are measured to ±1m, ±0.2m and ±0.1m by the triangulation scheme, the Kalman filter and the least-squires method respectively. As a result, we can see that the localization error rate of the suggested algorithm is higher than that of the triangulation as average 86.0% and the Kalman filter as average 16.0% respectively.

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  Cite this article

[IEEE Style]

M. K. Jung, C. Y. Choi, D. M. Lee, "The Compensation Algorithm for Localization Using the Least-Squares Method in NLOS Environment," The Journal of Korean Institute of Communications and Information Sciences, vol. 37, no. 4, pp. 309-316, 2012. DOI: .

[ACM Style]

Moo Kyung Jung, Chang Yong Choi, and Dong Myung Lee. 2012. The Compensation Algorithm for Localization Using the Least-Squares Method in NLOS Environment. The Journal of Korean Institute of Communications and Information Sciences, 37, 4, (2012), 309-316. DOI: .

[KICS Style]

Moo Kyung Jung, Chang Yong Choi, Dong Myung Lee, "The Compensation Algorithm for Localization Using the Least-Squares Method in NLOS Environment," The Journal of Korean Institute of Communications and Information Sciences, vol. 37, no. 4, pp. 309-316, 4. 2012.

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pISSN : 1226 - 4717
eISSN : 2287 - 3880