Indoor positioning method based on WiFi

A technology for indoor positioning and positioning area, which is applied to services based on location information and services based on specific environments. The effect of reducing data dimension and improving classification accuracy

Active Publication Date: 2019-07-12
HEFEI UNIV OF TECH
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AI Technical Summary

Problems solved by technology

However, the establishment of most positioning systems requires the deployment of a large number of dedicated e

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  • Indoor positioning method based on WiFi
  • Indoor positioning method based on WiFi

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Embodiment Construction

[0032] Such as figure 1 Shown, a kind of indoor positioning method based on WiFi, this method comprises the steps of following sequence:

[0033] (1) In the offline stage, the fingerprint vector FP of N reference point positions in the indoor positioning area is collected i ={RSS i1 , RSS i2 ,...,RSS in , x i ,y i , B i , F i}, i=1, 2, ..., Nn is the size of the AP set, x, y are the reference point coordinates, B, F are the reference point floors; these N reference point fingerprint information is stored in the fingerprint database DB;

[0034] (2) Coarse positioning in the online stage, that is, to determine the target floor; first, establish an autoencoder neural network, that is, the "Encoder" + "Decoder" model, to reduce the dimension of the original fingerprint data, and the output of the encoder Encoder is the dimensionality reduction data. Assume that the dimension is E; secondly, remove the decoding network part, use the output of the Encoder as the input of th...

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Abstract

The invention relates to an indoor positioning method based on WiFi, which comprises the following steps of: in an offline stage, acquiring fingerprint vectors of N reference point positions in an indoor positioning area, and storing the fingerprint information of the N reference points into a fingerprint database DB; roughly positioning at an online stage, namely determining a target floor; utilizing the K-means algorithm to carry out clustering analysis on the sub-fingerprint libraries DBjk of the corresponding floors, and further dividing positioning sub-regions; in the real-time positioning stage, firstly, carrying out AP selection, and then using a KNN classification algorithm for determining a sub-region where a target is located; and finally, finding out K nearest neighbors, and estimating the position (x, y) of the target in a weighted average mode. According to the method, for a large-range indoor positioning scene, the intensity information of all APs is reserved; for indoorfloor positioning, an SVM classifier is used, an encoder is added to a classifier model, the data dimension is reduced through introduction of the encoder, redundant information and noise interferenceare effectively reduced, and the classification precision is improved.

Description

technical field [0001] The invention relates to the technical field of location services in an indoor environment, in particular to a WiFi-based indoor positioning method. Background technique [0002] With the development of urbanization, the density of urban buildings continues to increase, and various high-rise buildings stand everywhere. As the scale of buildings such as underground parking lots, large shopping centers, and hospital buildings expands, people's demand for LBS services is increasing. Although GPS and other technologies can solve problems such as outdoor positioning and navigation and route query, it is difficult to extend it to the indoor environment. With the rapid development of wireless local area networks, the continuous construction of public network infrastructure, and the rapid popularization of various smart terminal devices, the advantages of WiFi-based indoor positioning systems in terms of cost, accuracy, and coverage are more obvious, and are w...

Claims

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Application Information

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IPC IPC(8): H04W4/02H04W4/021H04W4/33
CPCH04W4/021H04W4/023H04W4/33
Inventor 苏明明鲁照权丁浩峰吴冰婕朱丽莹胡锴黎叶莹刘惠
Owner HEFEI UNIV OF TECH
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