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Method for Determining Grid Pixel Attenuation Values ​​for Wireless Tomography

A technology of tomographic imaging and determination method, which is applied in radio wave measurement system, positioning, transmission monitoring, etc. It can solve the problems of affecting the use effect, inaccurate positioning, and covering many pixel areas, so as to achieve good use effect and reduce redundancy , the effect of reducing artifacts

Active Publication Date: 2018-07-13
HENAN UNIVERSITY OF TECHNOLOGY
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Problems solved by technology

In RTI technology, the key step is to determine the grid pixel weight matrix. The determination of the weight requires the use of an ellipse model. However, the variable eccentricity ellipse model covers more pixel areas when the focal length of the communication link is short, resulting in inaccurate positioning. , affect the use effect

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  • Method for Determining Grid Pixel Attenuation Values ​​for Wireless Tomography
  • Method for Determining Grid Pixel Attenuation Values ​​for Wireless Tomography
  • Method for Determining Grid Pixel Attenuation Values ​​for Wireless Tomography

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Embodiment Construction

[0039] A method for determining grid pixel attenuation values ​​for wireless tomography, the method sequentially includes the following steps:

[0040] (1) Deploy wireless sensor nodes;

[0041] In this embodiment, the wireless sensor nodes are arranged on the periphery of the monitoring area, and the wireless sensor nodes are deployed at intervals; then the monitoring area is divided into grids, and a communication link is formed between two sensor nodes, assuming that the number of sensor nodes deployed is n, then there are a total of n(n-1) communication links in the area.

[0042] In the implementation, 16 sensor nodes can be selected to be arranged at equal intervals of 1.5m, and the number of divided grids is 60×60.

[0043] (2) Determine the RSS value of the monitoring area in the calibration state P ;

[0044] When no target enters the monitoring area, the attenuation of the communication link conforms to the path loss model of free space, and the RSS (received sign...

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Abstract

The invention relates to a grid pixel attenuation value determination method for wireless chromatography imaging. The method comprises the following steps: (1), setting a wireless sensor node and carrying out grid pixel division; (2), determining an RSS value of a monitoring area under a calibration state to be p; (3), determining a grid pixel weight value; (4), determining a grid pixel receiving signal intensity; and (5), determining a grid pixel attenuation value. On the basis of the steps, the grid pixel attenuation value is obtained; image reconstruction is realized based on the attenuation value; and then a basis is provided for target positioning. According to the grid pixel attenuation value determination method provided by the invention, adaptive selection of the grid pixel number and range is realized, so that the target identification degree of the reconstructed image is improved; and the effect is obvious especially when the noise interference is serious, so that the precise target positioning is realized well.

Description

technical field [0001] The invention belongs to the technical field of wireless tomography, and in particular relates to a method for determining grid pixel attenuation values ​​for wireless tomography. Background technique [0002] Radio TomograPhic Imaging (RTI) was proposed by Neal Patwari and Joey Wilson of the University of Utah in the United States. The proposal of this technology provides a new idea for passive target positioning. Passive positioning does not require the target to wear an electronic tag, and only needs to arrange sensors around the monitoring area. Traditional positioning algorithms include grid positioning algorithm, particle filter algorithm and RTI. Among several algorithms, the grid positioning algorithm sensor needs to be arranged on the ceiling, which is not applicable in emergency situations, and the particle filter algorithm needs multiple iterations to find the optimal solution, which has poor real-time performance. Compared with the above ...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01S5/00H04B17/318
CPCG01S5/00H04B17/318
Inventor 朱春华陈岳杨静杨铁军樊超傅洪亮
Owner HENAN UNIVERSITY OF TECHNOLOGY
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