Indoor wireless hotspot retrospective positioning method based on wifi signal strength and micro-model

Abstract

The invention provides an indoor wireless hotspot backtrack positioning method based on WiFi signal intensity and a Micro-Model. According to the method, hotspot backtracking is performed on the basis of the conventional trilateral positioning method through accurate description of an environment attenuation factor matrix in a target building so that a mobile hotspot can be positioned in real time. According to the method, an attenuation factor base can be updated in offline training of the conventional position fingerprint algorithm with no requirement for additional positioning steps, and the hotspot backtracking precision can be enhanced. The main working flow of the method is that the conventional fingerprint base is acquired and a Micro-LDPL-Model is established in the offline training phase; and the mobile hotspot is accurately positioned through cooperation of a mobile intelligent terminal and a server in the online measurement phase, and the positioning result is optimized to the greatest extent through the method of accurate backtracking, trilateral measurement and clustering optimization so as to be more accurate and reasonable. The system applying the method has the capacity of performing real-time accurate backtracking on the mobile hotspot and can also limit the positioning error in a small range.

Description

Technical field [0001] The invention relates to a method for backtracking indoor wireless hotspots based on WiFi signal strength collection and accurate environmental attenuation factor model (Micro-Model). This method accurately describes the environment attenuation factor matrix in the target building, and performs hot spot backtracking on the basis of the traditional trilateral positioning method to locate mobile hot spots in real time. This method can update the attenuation factor library during offline training of the traditional location fingerprint algorithm, without additional positioning steps, while improving the accuracy of hotspot backtracking. It belongs to the related field of indoor wireless hotspot backtracking methods based on WiFi signal strength. Background technique [0002] The traditional location fingerprint positioning method has produced a relatively ideal positioning effect after being combined with a variety of new technologies. Its accuracy has been gr...

AI Technical Summary

Problems solved by technology

But it is obviously unreasonable to simply set the number of cluster centers to a fixed value in this way

[0012] The biggest problem with the gradient positioning method is that some important factors in this field are ignored to varying degrees because the performance of the method is only tested in a specific environment.

Therefore, the gradient positioning method cannot fully meet the needs of secondary positioning, and a new method is needed to complete the positioning

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