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Multi-target device-free localization method based on radio tomographic imaging

A technology of radio frequency tomography and positioning method, which is applied in the service, positioning, measuring device and other directions based on location information, and can solve the problem of weak anti-interference of the algorithm.

Active Publication Date: 2017-04-05
TIANJIN UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, affected by factors such as complex channel environment and poor anti-interference ability of the algorithm, it is still an urgent task to achieve passive wireless positioning and tracking of targets with high precision, strong anti-interference ability, and adapting to complex environments.

Method used

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  • Multi-target device-free localization method based on radio tomographic imaging
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  • Multi-target device-free localization method based on radio tomographic imaging

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Experimental program
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Embodiment Construction

[0024] The UHF RFID multi-target passive positioning method based on radio frequency tomography of the present invention comprises the following steps:

[0025] 1) Radio frequency tomography

[0026] First, a passive UHF RFID tag is arranged around the positioning area, and a reader antenna is arranged at the midpoint of each side. Evenly divide the positioning area into N grids, and we call these grids pixels. Communication is possible between each reader and tag. when figure 2 When each node in the network communicates, the wireless link will pass through the area covered by the node. The appearance of the target will affect the surrounding links, because the target will reflect, absorb, diffract or scatter a part of the transmitted power. This reduces the power reaching the receiver of the link. The linear model of the radio frequency tomography algorithm is y=Wx+n, where y represents the received signal strength (RSS) attenuation value of the link, x represents the R...

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Abstract

The invention discloses a multi-target device-free localization method based on radio tomographic imaging. The method includes following steps: radio tomographic imaging; local maximum value extraction; cross section scanning: performing grayscale cross section scanning on each maximum value point after obtaining all local maximum value points in an imaging result, regarding the maximum value point as the center of a scanning line L, rotating the line with a fixed angle spacing theta, recording pixel values of pixel points which are penetrated by the line after each rotation, and stopping rotation after rotation of a lap; feature calculation of a grayscale distribution map; and classifying to-be-classified points into three categories by employing a naive Bayes classifier according to features of the grayscale distribution map: phony-target points, single-target points, and double-target points, determining each hotspot, removing phony targets, and distinguishing the target number when a plurality of targets are collected together. According to the method, the precision is high.

Description

technical field [0001] The invention belongs to the research field of using UHF RFID equipment for passive positioning of indoor personnel, and specifically relates to a radio frequency tomography algorithm, a gray-scale cross-sectional scanning analysis method and a Bayesian classification method. Background technique [0002] Positioning is to obtain the coordinates of the object of interest in space. Since human beings entered the information age, navigation and communication technologies have developed rapidly in the integration of each other. Among them, the user's personal positioning and navigation technology has produced greater application value and played an increasingly important role in people's daily life. At the same time, single location navigation is also changing to comprehensive location services such as monitoring, management, transportation, logistics, rescue, and entertainment. As a strategic emerging industry, location-based services have entered peopl...

Claims

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Application Information

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IPC IPC(8): H04W4/02H04W64/00G01S5/02
CPCG01S5/02H04W4/023H04W64/00
Inventor 马永涛高鑫
Owner TIANJIN UNIV
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