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Network visibility graph based passive indoor positioning method

A positioning method and view technology, applied in location information-based services, specific environment-based services, positioning, etc., can solve problems such as poor stability and low accuracy, achieve improved accuracy, stable positioning, and reduce deployment and installation costs Effect

Active Publication Date: 2018-06-22
ZHEJIANG UNIV OF TECH
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AI Technical Summary

Problems solved by technology

[0005] In order to overcome the disadvantages of poor stability and low accuracy of the existing indoor positioning methods, the present invention provides a more stable and higher accuracy passive positioning system based on network visual maps than traditional CSI amplitude positioning. Indoor positioning method, which can effectively realize the position classification of indoor human body

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  • Network visibility graph based passive indoor positioning method
  • Network visibility graph based passive indoor positioning method
  • Network visibility graph based passive indoor positioning method

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Embodiment Construction

[0051] Below we describe in detail the preferred embodiments of the present invention in conjunction with the accompanying drawings, so that the advantages and features of the present invention can be more easily and quickly understood by those skilled in the art, thereby making the protection scope of the present invention more clear clearly defined and defined.

[0052] refer to Figure 1 to Figure 5 , a passive indoor positioning method for network visualization, comprising the following steps:

[0053] Step 1: Build a channel status information data collection platform;

[0054] Step 2: Divide the positioning area into N grids as the basic unit of positioning classification, denoted as L 1 ,...,L N ;

[0055] Step 3: In the offline training phase, the human body maintains a static posture in each grid for a period of time, and collects data packets containing channel state information. The format of each channel state information data is: where F 1 ~F 30 are subca...

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Abstract

The invention discloses a network visibility graph based passive indoor positioning method. The network visibility graph based passive indoor positioning method comprises the steps of building a channel state information data collection platform and building a network visibility graph by utilizing a common WLAN device; performing a positioning process, wherein the positioning process comprises twostages, including, an offline training stage and an online testing stage; analogizing a subcarrier sequence signal into a time sequence signal during the offline straining stage and building a complex network through a visibility graph and a horizontal visibility graph so as to extract network characteristics used for building a position fingerprint library; collecting data and performing position classification by utilizing multiple machine learning algorithms during the online testing stage. Meanwhile, amplitude and phase position are combined, and multiple pairs of antennas are synthesizedto further improve detection accuracy and stability. The network visibility graph based passive indoor positioning method can greatly reduce the actual operation cost, accordingly realizes passive location of personnel indoors efficiently, and can realize more than 95% classification accuracy under an optimal condition. The network visibility graph based passive indoor positioning method has certain application values in the fields such as smart home, Internet of Things and intrusion detection.

Description

technical field [0001] The invention relates to the field of indoor positioning, in particular to a passive indoor positioning method for constructing a visual map network based on channel state information. Background technique [0002] Since the emergence of positioning technology represented by GPS, its high efficiency, convenience, speed and accuracy have not only brought great changes to people's lives, but also led to the rapid development of a number of applications and services. Due to the limitations of the traditional positioning technology principle, the positioning effect in the indoor environment is not very ideal. Therefore, an efficient, convenient and accurate positioning technology is urgently needed in the indoor environment to fill the huge technical gap. The current positioning technology mainly relies on several algorithms such as proximity information, scene analysis, and geometric positioning. Its characteristics are generally to use multiple auxiliary...

Claims

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Application Information

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IPC IPC(8): H04W64/00H04W4/33G01S5/02H04W4/02
CPCG01S5/02H04W64/00
Inventor 吴哲夫姜磊翔云傅晨波宣琦
Owner ZHEJIANG UNIV OF TECH
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