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Improved RSS Data Generation Method Based on Kriging Interpolation Algorithm

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Abstract

The traditional method of constructing RSS fingerprint database costs a large amount of time and human resource due to adopting the point-by-point method to sample RSS value, and consequently the positioning method based on RSS fingerprint model is difficult to be widely applied. In this paper, a RSS data generation method is proposed based on Kriging spatial interpolation algorithm. The proposed method firstly selects the model of variogram according to the properties of field, and subsequently solves the variogram by using the observation points with the restriction of unbiased estimation and minimum estimation variance, finally calculates RSS data for the estimation points. The experimental results show that the proposed method accurately acquires the RSS data of estimation points while the required reference points are much less than that of conventional point-by-point method.

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Authors and Affiliations

  1. School of Electrical and Information Engineering, Jiangsu University of Technology, Changzhou, 213001, Jiangsu, China

    Yongxing Wang, Weige Tao & Lei Zhang

  2. School of Information and Electrical Engineering, China University of Mining and Technology, Xuzhou, 221008, Jiangsu, China

    Gang Hua

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  1. Yongxing Wang
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  2. Gang Hua
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  3. Weige Tao
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  4. Lei Zhang
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Correspondence to Yongxing Wang.

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This work is supported by the Natural Science Foundation of the Jiangsu Higher Education Institutions of China (No. 18KJB510011), The National Natural Science Foundation of China (Nos. 51574232, 61701202)

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Wang, Y., Hua, G., Tao, W. et al. Improved RSS Data Generation Method Based on Kriging Interpolation Algorithm. Wireless Pers Commun 115, 2457–2469 (2020). https://doi.org/10.1007/s11277-020-07690-8

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  • DOI: https://doi.org/10.1007/s11277-020-07690-8

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