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RSS Assisted TOA-Based Indoor Geolocation

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Abstract

The huge distance measurement error in indoor areas and the difficulty of error estimation have posed great challenges to the design of practical TOA-based indoor geolocation systems. In this paper, we presented an RSS assisted TOA-based indoor localization algorithm, which uses RSS to estimate the range of DME for reference node selection and position estimation. This algorithm effectively improves the accuracy of distance measurement and position estimation, and thus improve the localization accuracy of the system. The algorithm is applied into a practical TOA-based indoor geolocation system, developed based on a commercially available device. The results of performance evaluation in a typical office environment show that the localization accuracy of our proposed algorithm is better than the conventional algorithms.

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Acknowledgments

This work is supported by National Science Foundation of P. R. China (No. 61172049, No. 61003251), Doctoral Fund of Ministry of Education (No. 20100006110015). The authors would like to thank Prof. Kaveh Pahlavan, Prof. Allen Levesque and Yishuang Geng from Center of Wireless Information Network Studies (CWINS), Worcester Polytechnic Institute (WPI) for their help on revising the paper.

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  1. School of Computer and Communication Engineering, University of Science and Technology Beijing (USTB), Beijing, China

    Jie He, Yanwei Yu & Qin Wang

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  1. Jie He
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  2. Yanwei Yu
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  3. Qin Wang
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Correspondence to Jie He.

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He, J., Yu, Y. & Wang, Q. RSS Assisted TOA-Based Indoor Geolocation. Int J Wireless Inf Networks 20, 157–165 (2013). https://doi.org/10.1007/s10776-012-0198-9

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