A Fingerprint Database Construction Method Based on Universal Kriging Interpolation for Outdoor Localization

In fingerprint positioning, the construction of a fingerprint database has a crucial impact on positioning. Because of the wide outdoor environment, the accurate construction of a traditional fingerprint database requires technologies such as large-scale drive testing, which consumes a lot of manpower and material resources. In this paper, Universal Kriging interpolation method is proposed to quickly construct outdoor fingerprint database for solving the problem of time-consuming and laborious. In order to detect the performance of the algorithm, the Reference Signal Receiving Power (RSRP) at the sampling point is calculated by using the Standard Propagation Model (SPM). The experiment is done using Universal Kriging algorithm and Inverse Distance Weighted algorithm to interpolate the database with 30% sampling points. The results show that the fingerprint database constructed based on the Universal Kriging interpolation algorithm is higher accuracy.