Method and system for evaluating fingerprint positioning error

Abstract

The invention discloses a method and system for evaluating a fingerprint positioning error. A fingerprint positioning system is provided with positioning error pre-estimating values corresponding to each fingerprint clustering; and the fingerprint clustering comprises a plurality of fingerprint sampling points similar to base station intensity. The method comprises the steps: the fingerprint positioning system receives user measured data reported by user equipment, and determines positioning results of the user equipment according to the user measured data and information of the fingerprint sampling points stored in a fingerprint database; and the fingerprint positioning system inquires the fingerprint clustering corresponding to the positioning results, and uses the positioning error pre-estimating values corresponding to the inquired fingerprint clustering as the fingerprint positioning error of the user equipment. Through the method and the system for evaluating the fingerprint positioning error, the estimating speed and precision of the fingerprint positioning error are improved; and the commonality, real-time performance and usability of the method for evaluating the fingerprint positioning error are enhanced.

Description

Technical field [0001] The present invention relates to the field of communication technology, in particular to a method and system for evaluating fingerprint positioning errors. Background technique [0002] With the development of communication technology, as a part of mobile communication and personal communication services, location services have become more and more important. Fingerprint positioning technology is a common technology in location services. It can determine the location of a mobile terminal based on the base station signal strength received by the mobile terminal in a wireless network. Since the multipath propagation of base station signals is dependent on the environment, for each location, the multipath structure of the channel at that location is unique, and the radio waves emitted by the mobile terminal undergo reflection and refraction, which are closely related to the surrounding environment. A specific pattern of multipath signals, such multipath featu...

AI Technical Summary

Problems solved by technology

[0008] When using the existing positioning error estimation technology, it needs to spend a lot of computing processing overhead in the offline sampling stage to collect and measure fingerprint data with a wide enough range and sufficient density (including wireless base station signal strength and fingerprint positioning error based on GPS position) , and the online positioning stage also needs to have the same machine learning model to estimate the positioning error in real time, so that the existing technology will not only be affected by the preprocessing overhead and reduce its versatility, but also suffer from excessive processing overhead and offline training preparation. And further limit its real-time and usability on the user terminal

In addition, since the model relationship between signal parameters and positioning error is not the same in different environments, the accuracy of existing positioning error estimation techniques cannot be guaranteed

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