Indoor positioning system and method based on MNL probability identification and positioning model establishing system

Abstract

The invention discloses an indoor positioning system and method based on MNL probability identification. The system comprises an MNL positioning model establishing module, a wireless network information acquiring module and a wireless network data comparison module, wherein the MNL positioning model establishing module is used for establishing an MNL positioning model, fingerprint wireless information corresponding to all fingerprint points is used for generating the probability-based MNL discrete model, the model is described with a series of random functions and is written into a center database, the wireless network data comparison module is used for comparing wireless network information of set electronic equipment with the MNL positioning model and the fingerprint wireless information, and then combinatorial computing is carried out on a series of fingerprint point coordinates with the maximum probability value to judge whether the set electronic equipment is located at the position where a fingerprint point with the largest similarity is located. The indoor positioning system and method based on the MNL probability identification can improve the accuracy of indoor positioning, and especially guarantees the stability and interference resistance of indoor positioning under the condition that the WIFI signal is lost and the environment changes suddenly.

Description

technical field [0001] The invention belongs to the technical field of indoor positioning, and relates to an indoor positioning system, in particular to an indoor positioning system based on MNL probability identification; at the same time, the invention also relates to an indoor positioning method based on MNL (Multinomial Logit) probability identification; in addition , The present invention also relates to a MNL positioning model establishment system based on MNL probability identification. Background technique [0002] Indoor positioning (Indoor Positioning) is to allow pedestrians or mobile phone users to be in large commercial complexes, shopping malls, supermarkets, exhibition halls, parking garages, airports or train hubs, quickly and accurately locate the location, and know the surrounding business information, and find the desired location. Places to go (such as designated businesses / parking spaces / entrances and exits, etc.). With the development of urbanization, ...

AI Technical Summary

Problems solved by technology

Due to the large amount of data and many dimensions of establishing location fingerprint information, the calculation amount in the real-time online positioning stage is relatively large, which affects the real-time positioning accuracy, accuracy, especially stability and anti-interference

In the actual WIFI indoor positioning environment, due to the influence of wall reflection, multipath, shadow effect, personnel movement, etc., the RSS values ​​of different WIFI hotspots often show complex time-varying statistical characteristics, such as signal variance, relatively discrete, location resolution ability The RSS signal of the weaker AP has a large amount of interference noise; the correlation of the positioning feature components of different APs causes redundancy in the input feature space

In order to obtain the time-varying statistical characteristics of the RSS signal, it takes a lot of manual time to build and model the fingerprint database, which is not conducive to the large-scale deployment and practical application of the real-time positioning system.

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