Indoor positioning method and indoor positioning system

Abstract

The invention provides an indoor positioning method and an indoor positioning system. The indoor positioning method comprises the steps of acquiring a signal strength value of a signal which is received by each signal receiving end and transmitted from a target signal transmitting end; calculating a distance ratio between two signal receiving ends and the target transmitting end according to the signal strength values which are received by every two signal receiving ends, and performing traversal of all signal receiving ends for obtaining a plurality of sets of distance ratios; drawing the track of the target signal transmitting end according to position coordinates of every two signal receiving ends and the corresponding distance ratio; and solving according to a fuzzy map strategy according to a plurality of tracks of the target signal transmitting end, thereby obtaining the position coordinate of the target signal transmitting end. The indoor positioning method and the indoor positioning system is based on a differential positioning theory. By means of a principle that wireless signal microscale multipath effect attenuation in the same environment is approximately same, according to a plane geometry principle and a fuzzy map method, interference factors such as multipath effect in a wireless signal indoor transmission process are eliminated, thereby realizing indoor target positioning and improving indoor positioning precision.

Description

technical field [0001] The present invention relates to the technical field of positioning, and more specifically, to an indoor positioning method and an indoor positioning system. Background technique [0002] Obtaining the location information of the target is very important in many fields, so the positioning technology has attracted more and more people's attention and research. In recent years, with the development of mobile networks and smart terminals, the demand for indoor location-based services is increasing. [0003] Although GPS and other GNSS systems have been able to solve the outdoor positioning problem well, the satellite signal strength and quality drop rapidly in indoor and other sheltered environments. The signal quality and strength of the terrestrial cellular mobile network indoors are far superior to those of the satellite indoors. However, due to the limitation of signal bandwidth, the positioning accuracy of the mobile cellular network is still poor, ...

AI Technical Summary

Problems solved by technology

[0009] The LANDMARC algorithm introduces the concept of reference tags, which increases the complexity and cost of the positioning system and limits its scope of use, and the positioning system based on the TOA / TDOA algorithm needs the signal strength received by the reader The value is converted into distance information according to the path loss model, and is brought into the TOA / TDOA solution model for calculation. The result is that this mode takes a long time, has large errors, and is not time-sensitive.

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