Indoor positioning method based on logarithmic normal model

Abstract

The invention discloses an indoor positioning method based on a logarithmic normal model, and the method comprises the steps: selecting APs with different specifications in a positioning region at aninitial stage of positioning, carrying out the equal-interval division of the positioning region, building a coordinate system, and collecting fingerprint information; filtering the RSSI value, fitting a logarithm normal model according to the filtered RSSI value to model the WiFi signal, screening out an AP (Access Point) most matched with the model, and constructing an RSSI fingerprint library and a high-density virtual fingerprint library; in the real-time positioning stage, on the basis that a node to be positioned is matched with an RSSI fingerprint database, using the integrating degreeof APs to correct the Euclidean distance similarity, finding out fingerprint points with higher similarity, determining the area of the node to be positioned preliminarily, and then carrying out secondary matching with a high-density virtual fingerprint database for accurate positioning. According to the method, the stable APs can be screened out, the problem of low positioning precision caused by difference between AP devices is well solved, the workload of fingerprint acquisition in an offline stage can be reduced through secondary interpolation matching, and the positioning precision is improved.

Description

technical field [0001] The invention relates to an indoor positioning method, which belongs to the technical field of indoor positioning, and mainly relates to an indoor positioning method based on a logarithmic normal model. Background technique [0002] In the era of rapid development of mobile devices and the Internet of Things, users have higher and higher requirements for Location-Based Service (LBS). In the outdoor environment, GPS (Global Position System) positioning system and GNSS (Global Navigation Satellite System) positioning system can well meet the needs of users, but the complex and changeable indoor environment makes these technologies unable to be used for precise positioning. Commonly used indoor positioning technologies include infrared, bluetooth, radio frequency identification, ultrasonic, ultra-wideband, geomagnetism, dead reckoning, etc., but these technologies require additional deployment of specialized hardware devices, which are costly and difficul...

AI Technical Summary

Problems solved by technology

[0008] Aiming at the above problems, the present invention provides an indoor positioning method based on a lognormal model. Through the technical solution of the present invention, not only can a stable AP be screened out in a complex environment, but also a problem caused by the AP problem can be better solved. The difference between devices causes the problem of low positioning accuracy. Secondary interpolation matching can also be used to reduce the workload of fingerprint collection in the offline stage and improve positioning accuracy.

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