Improved RSS Data Generation Method Based on Kriging Interpolation Algorithm

• DOI: 10.1007/s11277-020-07690-8
• Publication Date: 2020-10-24T16:02:43Z
• Authors: Yongxing Wang; Gang Hua; Weige Tao; Lei Zhang
• Keywords: 0202 electrical engineering, electronic engineering, information engineering; 02 engineering and technology

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.