A positioning method, device, electronic equipment and readable storage medium

Abstract

Embodiments of the present invention provide a positioning method, device, electronic equipment, and readable storage medium, which are applied in the field of wireless positioning technology. The position coordinates corresponding to the vectors are updated; according to each signal strength vector and the position coordinates corresponding to each signal strength vector, the decision tree is obtained through the least squares regression tree generation algorithm, and the boosting tree is updated to the sum of the boosting tree and the decision tree, and the lifting The initial value of the tree is 0; according to the lifting tree and each signal strength vector, the position coordinates corresponding to each signal strength vector are updated; return to the above steps of generating a decision tree and updating the lifting tree until the number of obtained decision trees reaches Preset threshold; when performing positioning, input the obtained measured signal strength vector into the boosting tree to obtain the position coordinates corresponding to the measured signal strength vector. The invention can improve the positioning accuracy and shorten the positioning time.

Description

technical field [0001] The invention relates to the technical field of wireless positioning, in particular to a positioning method, device, electronic equipment and a readable storage medium. Background technique [0002] In recent years, the development of smart devices such as smartphones and tablet computers has played a vital role in the development of LBS (Location Based Service, location-based services), Internet of Things applications and other fields. According to a 2013 survey by the Pew Research Center, about three-quarters (74%) of smartphone users frequently use LBS. Indoor location information plays an increasingly important role in people's daily life, bringing great convenience to people's life and improving people's quality of life. At present, GNSS (Global Navigation Satellite System, global satellite navigation system) is widely used in outdoor environments, but because GNSS positioning signals are easily blocked by buildings, etc., and are susceptible to ...

AI Technical Summary

Problems solved by technology

Due to the large data noise of the fingerprint database, the positioning accuracy of the AdaBoost fingerprint positioning algorithm is low

In addition, if the AdaBoost fingerprint positioning algorithm obtains a better strong classifier, more classifiers need to be constructed, so the positioning time is longer

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