A gradually locating method of indoor locating estimation based on likelihood
Authors: 
Letian Ye, Zhihai Liu, Lingzhou Xue, Ping He, Zhi GengAuthors Info & Claims
Letian Ye, Zhihai Liu, Lingzhou Xue, Ping He, Zhi GengAuthors Info & ClaimsPages 91 - 97
Abstract
Locating using wireless signal is a popular field now, and the real time indoor locating is a difficult problem for its complexity and sensitivity to environments. This paper proposes a gradually locating method based on Euclidean distance and the maximum likelihood, which maintains both Euclidean distance's robusticity and the maximum likelihood's high precision under complex environments. To reduce the number of supervised vertices in training data required by the grid-matching algorithm, this paper also presents an interpolation method based on the received signal strength (RSS) model in the local area, which successfully simulates the real signal distribution on the interpolation point. By using the above method, we can obtain unbiased locating result, and the locating can approach to the real position steadily as the amount of signals increases.
References
[1]
Chen, Y. G., Li, X. H., Signal Strength Based Indoor Geolocation, Acta Electronica Sinica 9(2004) 1456--1458.
[2]
Nuno-Barrau, G., Paez-Borrallo, J. M., A new location estimation system for wireless networks based on linear discriminant functions and hidden Markov models, Eurasip Journal On Applied Signal Processing (2006), Art. No. 68154.
[3]
Madigan, D., Ju, W. H., Krishnan, P. et al., Location Estimation in Wireless Networks: A Bayesian Approach, Statistica Sinica 16(2006) 495--522.
[4]
Roos, T., Myllymäki, P., Tirri, H., Misikangas, P. et al., A Probabilistic Approach to WLAN User Location Estimation, International Journal of Wireless Information Networks 3(2002) 155--164.
[5]
Shang, Y., Ruml, W., Zhang, Y., Fromherz, M. P. J., Localization from mere connectivity, in Fourth ACM International Symposium on Mobile Ad-Hoc Networking and Computing (MobiHoc) June 2003 201--212.
[6]
Youssef, M. A., Agrawala, A., Shankar, A. U., WLAN locationdetermination via clustering and probability distributions, Proceedings of the 1st IEEE International Conference on Pervasive Computing and Communications (2003), 143--150.
Index Terms
- A gradually locating method of indoor locating estimation based on likelihood
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September 2007
702 pages
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Published: 10 September 2007
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MC07: 4th Mobility Conference: International Conference on Mobile Technology, Application & Systems
September 10 - 12, 2007
Singapore
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