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Improved positioning method of indoor fingerprint based on clustering neural network

A neural network and fingerprint positioning technology, which is applied in the field of indoor fingerprint positioning based on clustering neural network, can solve the problem of reduced positioning accuracy

Inactive Publication Date: 2013-02-13
BEIJING JIAOTONG UNIV
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Problems solved by technology

[0005] In order to solve the problem that the suboptimal global convergence of model training in the clustering neural network fingerprint positioning algorithm leads to the reduction of positioning accuracy, the present invention provides an improved indoor fingerprint positioning method based on clustering neural network

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  • Improved positioning method of indoor fingerprint based on clustering neural network
  • Improved positioning method of indoor fingerprint based on clustering neural network
  • Improved positioning method of indoor fingerprint based on clustering neural network

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[0046] The preferred embodiments will be described in detail below in conjunction with the accompanying drawings. It should be emphasized that the following description is only exemplary and not intended to limit the scope of the invention and its application.

[0047] figure 1 It is a frame diagram of an improved indoor fingerprint positioning method based on clustering neural network provided by the present invention. figure 1 , specifically include the following steps:

[0048] Step 101: Establishment of an indoor fingerprint database in the offline phase. First, set a uniformly distributed reference point RP according to the indoor layout i , the position coordinate l i =(x i ,y i ), i=1,2,...,L. Among them, L is the number of all reference points in the room. Collect channel parameter information v from n wireless access points that can be detected indoors at each reference point i (τ)=[v i,1 (τ),...,v i,n (τ)] T , τ=1,...,m,m>1, where, v i,j (τ) is the refer...

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Abstract

The invention discloses the technical field of wireless communication and wireless network positioning, and in particular relates to an improved positioning method of an indoor fingerprint based on a clustering neural network. According to the technical scheme, the positioning method is characterized by comprising the following steps of: an offline phase: constructing a fingerprint database by fingerprint information collected from a reference point, sorting fingerprints in the fingerprint database by utilizing a clustering algorithm, and training the fingerprint and position information of each reference point by utilizing a artificial neural network model to obtain an optimized network model; and an online phase: carrying out cluster matching on the collected real-time fingerprint information and a cluster center in the fingerprint database to determine a primary positioning area, and taking the real-time fingerprint information in the primary positioning area as an input end of the neural network model of the reference point to acquire final accurate position estimation. The method has the advantages that low calculation and storage cost for the clustering artificial neural network fingerprint positioning method can be guaranteed, the positioning accuracy of the clustering artificial neural network fingerprint positioning method can be improved, and accurate positioning information is provided for users.

Description

technical field [0001] The invention belongs to the technical field of wireless communication and wireless network positioning, in particular to an improved indoor fingerprint positioning method based on a clustering neural network. Background technique [0002] In recent years, with the continuous development of society and economy, as well as the continuous advancement of information and communication technology, the demand for location based service (LBS) in emergency assistance, navigation, tracking and local search has been increasing. Broad business prospects and market value. At present, most of the positioning applications developed based on smart terminals are limited to outdoor positioning environments. However, people's demand for indoor positioning technology is also increasing day by day, such as airport halls, shopping malls, office buildings, hospitals, etc. need to provide positioning and navigation services for special customers , so as to make people's liv...

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Application Information

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IPC IPC(8): H04W4/02H04W64/00G06K9/00G06N3/08
Inventor 丁根明谈振辉张金宝张令文陈铭珅白嗣东
Owner BEIJING JIAOTONG UNIV
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