Indoor wireless hotspot backtrack positioning method based on WiFi signal intensity and Micro-Model
A signal strength and indoor wireless technology, applied in the direction of the beacon system using radio waves, etc., can solve the problems that the gradient positioning method cannot fully meet the secondary positioning, neglect, and unreasonable
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[0025] The present invention proposes a mobile hotspot backtracking method based on local-LDPL-model (LDPL). The method mainly combines position fingerprint positioning and RSSI positioning, and uses the environment and position information provided by the position fingerprint and the log attenuation model to provide The signal strength-distance conversion formula locates the hot spot. This process includes filtering, clustering and other algorithms, which can achieve better positioning results. The method is divided into two stages, offline training and online testing. (off-line training stage and on-line testing stage)
[0026] S1, offline training stage
[0027] The tasks of the system in the offline training phase are: complete the construction of the MM model; complete the construction of the basic fingerprint library.
[0028] First, the present invention proposes a set of Micro-LDPL-Model (MM) as the core of the method. In the offline training phase, the model systematical...
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