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A Location Estimation Method Using TDOA Scheme in Vessel Environment
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 Title & Authors
A Location Estimation Method Using TDOA Scheme in Vessel Environment
Kim, Beom-mu; Jeong, Min A; Lee, Seong Ro;
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 Abstract
An estimation problem in the environment which GPS signals do not reach, should be solved by employing an indoor location estimation scheme. Location estimation schemes for indoor environments generally include the AOA, TOA, RSS, Fingerprint, and TDOA. For a ship environment where there exist many spaces enclosed by iron plates, the TDOA scheme is appropriate because location estimation is usually performed at a closed range. In this paper, we address the problem of estimating the location of a terminal under the ship environment. The problem of location estimation by using the TDOA is presented in detail, and then an algorithm for applying the estimation to the ship environment is proposed. Finally, the proposed algorithm of location estimation in a ship by the TDOA scheme is verified through simulations from three viewpoints.
 Keywords
Detection Process;Localization Estimation Process;TDOA;Vessel Environment;WLAN;
 Language
Korean
 Cited by
 References
1.
J. J. Lee, J. W. Kwon, M. A Jung, S. R. Lee, “Fingerprinting Bayesian Algorithm for Indoor Location Determination,” The Journal of Korea Information and Communications Society, Vol.35, No. 6, pp.888-894. 2010.06.

2.
J. J. Lee, M. A Jung, S. R. Lee, I. H. Song, “KNN/ANN Hybrid Location Determination Algorithm for Indoor Location Base Service,” The Journal of Institute Of Electronics And Information Engineers, Vol. 48, No.2, pp.109-115. 2011.03.

3.
J. J. Lee, L. H. Song, J. H. Kim, S. R. Lee, “Optimized KNN/IFCM Algorithm for Efficient Indoor Location,” The Journal of Institute Of Electronics And Information Engineers, Vol. 48, No.2, pp.125-133. 2011.03.

4.
J. J. Lee, M. A Jung, S. R. Lee, “KNN/PFCM Hybrid Algorithm for Indoor Location Determination in WLAN,” The Journal of Institute Of Electronics And Information Engineers, Vol. 47, No.6, pp.146-153. 2010.11.

5.
H. G. Jo, S. Y. Jeong, S. J. Kang, “Enhanced Accurate Indoor Localization System Using RSSI Fingerprint Overlapping Method in Sensor Network,” The Journal of Korea Information and Communications Society, Vol.37C, No.08, pp.731-740. 2012.08. crossref(new window)

6.
T. Kim, S. Tak, “Modeling and Performance Evaluation of AP Deployment Schemes for Indoor Location-Awareness,” Journal of the Korea Institute of Information and Communication Engineering, Vol.17, No.4, pp.847-856, 2013.03. crossref(new window)

7.
J. Y. Cha, Y. B. Kong, J. W. Choi, J. H. Ko, Y. G. Kwon, "IEEE 802.15.4a based Localization Algorithm for Location Accuracy Enhancement in the NLOS Environment," Journal of the Korea Institute of Information and Communication Engineering, Vol.16, No.8, pp.1789-1798. 2012.05 crossref(new window)

8.
S. Son, H. Choi, H. Cho, Y. Baek, "Location Information Reliability-Based Precision Locating System Using NLOS Condition Estimation," The Journal of Korea Information and Communications Society, Vol.38C, No.01, pp.97-108. 2013.01. crossref(new window)

9.
S. Wooo, H. Jeon, H. Park, “A Study on NLOS Error Solution Method in Indoor Location Estimate,” Korea Computer Congress Vol. 33, No. 1(D), pp.178-180, 2006.

10.
Y. Lim, J. Park, and S. Ahn, “A Geometric Approach for the Indoor Localization System,” Journal of The Institue of Electronics Engineers Vol.45, Part.TC No.12, 2008. 12, pp. 1058-1065

11.
D. Ahn, R. Ha, “Indoor Localization Methodology Based on Smart Phone in Home Environment,” The Journal of Korea Information and Communications Society '14-04 Vol.39C No.04, pp. 315-325. crossref(new window)

12.
Cong, L. and W. Zhuang, "Non-line-of-sight error mitigation in TDOA mobile location," IEEE Global Telecommunications Conference, volume: 1, pp. 680-684. 2001.

13.
B. Kim, M. A. Jeong, S. R. Lee, “Location Estimation Method Employing Fingerprinting Scheme based on K-Nearest Neighbor Algorithm under WLAN Environment of Ship,” Journal of the Korea Institute of Information and Communication Engineering, Vol. 18, No. 10 : 2530~2536 Oct. 2014. crossref(new window)