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High-precision positioning method for indoor visible light based on artificial neural network

An artificial neural network and positioning method technology, which is applied in the field of indoor positioning and visible light positioning, can solve problems such as reflected light signal interference, and achieve the effects of eliminating influence, improving positioning speed, and high positioning accuracy

Active Publication Date: 2016-11-09
BEIJING INSTITUTE OF TECHNOLOGYGY
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0009] The purpose of the present invention is to solve the problem that the current indoor visible light positioning technology is interfered by reflected light signals, and propose a high-precision indoor visible light positioning method based on artificial neural network

Method used

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  • High-precision positioning method for indoor visible light based on artificial neural network
  • High-precision positioning method for indoor visible light based on artificial neural network
  • High-precision positioning method for indoor visible light based on artificial neural network

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Embodiment 1

[0036] combine figure 1 , figure 2 , image 3 , a high-precision indoor visible light positioning method based on an artificial neural network in the present invention is described in detail.

[0037] In this embodiment, the application of the method of the present invention to perform positioning in an indoor room is described. The size of the indoor room is 5 meters x 5 meters x 3 meters; there are 4 LED lights on the ceiling that provide lighting and serve as signal sources for the visible light positioning system. These 4 LED lights are modulated with on-off keying (OOK) signals, and send their unique ID information to distinguish different light sources. At the same time, the receiving end is located below the light source and on a plane with a vertical distance of 3 meters from the light source, and placed vertically upward.

[0038] figure 1 It is a high-precision indoor visible light positioning method based on artificial neural network and the overall flow chart...

Embodiment 2

[0054] Changing the 4 LED lamps in Embodiment 1 into N (N>3) lamps, and changing the number of hidden layer nodes from 30 to other numbers, the positioning system is still valid.

Embodiment 3

[0056] If the LED light in Embodiment 1 is changed to other modulable light sources such as OLED, the positioning system is still effective.

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Abstract

The present invention relates to a high-precision positioning method for indoor visible light based on an artificial neural network, which is characterized by including a training mode and a positioning mode, that is, an artificial neural network is established according to position coordinates of selected test points and received signal strength and is trained; and then, a final positioning result is obtained using the trained artificial neural network in combination with the received signal strength at a receiving end. In the training mode, the method can simultaneously consider direct light signals of a light source and diffuse reflection light signals from surfaces of walls and surfaces of other objects, and can use same in the positioning process after training is completed. The method proposed in the present invention is more accordant with a real application scenario, and the positioning result is more accurate; and relative to the traditional positioning method based on the received signal strength, the algorithm has the advantages of shorter operation time and higher efficiency.

Description

technical field [0001] The invention relates to a high-precision indoor visible light positioning method based on an artificial neural network, and belongs to the technical field of indoor positioning and visible light positioning. Background technique [0002] With the wide application of positioning and navigation technology and the continuous diversity of location service applications, indoor positioning technology has gradually entered people's field of vision, and the related demand has also continued to grow. In the positioning and navigation market, positioning systems based on satellite signals such as GPS and Beidou occupy the vast majority. But at the same time, since the satellite signal will be blocked by tall buildings in the city; and indoors, the satellite signal will be seriously attenuated after passing through the wall, so satellite signal-based positioning technologies such as GPS and Beidou are not practical in the indoor environment . In recent years, ...

Claims

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Application Information

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IPC IPC(8): H04B10/116G01S5/06H04W64/00
CPCG01S5/06H04B10/116H04W64/00
Inventor 杨爱英黄河清冯立辉倪国强
Owner BEIJING INSTITUTE OF TECHNOLOGYGY
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