A Method for Generating Fingerprints of Ground Protrusions Backwards to the Grid

Abstract

The invention discloses a ground projection back grid fingerprint generation method, which comprises the following steps that: MR positioning receives signal information transmitted by a certain terminal, and the signal information comprises terminal position information, antenna transmitting power of a base station corresponding to the terminal and a network adopted by communication; whether theposition information of the terminal is located in a shadow area of a building in a cell coverage area where the terminal is located or not is judged, if yes, whether the position information of the terminal is located in an inner side triangular area of the shadow area or an outer side area of the shadow area is further judged, and when the position information is located in the inner side triangular area, MR positioning fingerprint signal intensity = P-(Lp + Lq), the MR positioning fingerprint signal intensity = P-when located in the outside region (Lp + 1 / 2Lq), P is the transmitting power of the base station antenna, Lp is the basic propagation loss, and Lq is the building penetration loss. For high-rise buildings in a community coverage area, building penetration loss needs to be superposed on the basis of propagation attenuation, and the accuracy of fingerprint data is improved.

Description

technical field [0001] The invention relates to the field of communication technology, in particular to a method for generating a fingerprint of a ground protrusion facing away from a grid. Background technique [0002] The MR (Measurement Report, measurement report) positioning technology has undergone continuous evolution and has been continuously improved. Especially in recent years, the emergence of fingerprint positioning technology in the wireless environment has enabled MR positioning to achieve a positioning accuracy of 100 meters. The positioning accuracy of fingerprint positioning technology depends to a large extent on the accuracy of fingerprint data. At present, most fingerprint data are generated using propagation models, and fingerprints are corrected using road test data. Since the height and shape of urban buildings have varying degrees of influence on the propagation of wireless signals, the drive test data cannot accurately eliminate the influence of buil...

AI Technical Summary

Problems solved by technology

Since the height and shape of urban buildings have varying degrees of influence on the propagation of wireless signals, the drive test data cannot accurately eliminate the influence of buildings on fingerprint data

Therefore, there is a large difference between the generated fingerprint data and the real coverage of the wireless signal, which affects the positioning accuracy of MR fingerprints.

Images