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Indoor Visible Light Communication Positioning Method and System Based on Machine Learning and OFDM

A visible light communication and machine learning technology, applied in the field of optical communication, can solve problems such as the inability to meet positioning requirements, and achieve the effect of high reliability

Active Publication Date: 2021-08-10
SUZHOU UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0007] Therefore, the technical problem to be solved by the present invention is to overcome the problem in the prior art that cannot meet the positioning requirements in medium and large indoor positioning scenarios, thereby providing a machine learning and OFDM-based positioning system that can meet the positioning requirements in medium and large indoor positioning scenarios. Indoor visible light communication positioning method and system

Method used

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  • Indoor Visible Light Communication Positioning Method and System Based on Machine Learning and OFDM
  • Indoor Visible Light Communication Positioning Method and System Based on Machine Learning and OFDM
  • Indoor Visible Light Communication Positioning Method and System Based on Machine Learning and OFDM

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Embodiment 1

[0027] Such as figure 1 As shown, this embodiment provides an indoor visible light communication positioning method based on machine learning and OFDM, including: Step S1: Divide a medium and large indoor plane into multiple connected sub-areas, and assign multiple LEDs to each sub-area device, and a plurality of LED devices are respectively fixed on the vertices of the sub-regions, and adjacent sub-regions share LED devices, wherein the LED devices are provided with identity information; step S2: carry out the binary data stream that needs to be sent AC amplitude modulation, and then place the communication data and identity information data on the respective assigned subcarriers, and perform STBC encoding on the communication data; Step S3: Perform DC bias optical orthogonal frequency division multiplexing on the data after the above processing Modulation; Step S4: Send the respective data on the multiple LED devices in the same sub-area in the form of optical signals, and t...

Embodiment 2

[0034] Such as Figure 5 As shown, this embodiment provides an indoor visible light communication positioning method based on machine learning and OFDM, including the following steps: Step S1: the receiving end processes the received data; Step S2: separates the communication data and identity information data, For the identity information data, the sub-area where the receiver is located is determined according to the restored identity information data; for the communication data, the pilot data is extracted and the channel estimation matrix is ​​calculated, after the feature value is extracted, the machine learning model is used for positioning to obtain the relative coordinates of the receiver, At the same time, the channel estimation matrix is ​​used for STBC decoding to obtain communication data; the relative coordinates obtained are combined with the identity information data obtained by the receiver to calculate the final coordinates of the receiver.

[0035] In the indo...

Embodiment 3

[0040] Based on the same inventive concept, this embodiment provides an indoor visible light communication positioning system based on machine learning and OFDM. Its problem-solving principle is similar to the indoor visible light communication positioning method based on machine learning and OFDM described in Embodiment 1. Repeat I won't repeat them here.

[0041] The indoor visible light communication positioning system based on machine learning and OFDM described in this embodiment includes:

[0042] The dividing module is used to divide the medium and large indoor plane into multiple connected sub-areas, and distribute multiple LED devices on each sub-area, and the multiple LED devices are respectively fixed on the vertices of the sub-areas, and adjacent The sub-regions share LED equipment, wherein the LED equipment is provided with identity information;

[0043] The processing module is used to perform quadrature amplitude modulation on the binary data stream to be sent,...

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Abstract

The present invention relates to an indoor visible light communication positioning method and system based on machine learning and OFDM, comprising: dividing a medium and large indoor plane into multiple connected sub-areas, assigning multiple LED devices to each sub-area, and multiple The LED devices are respectively fixed on the vertices of the sub-regions, and the adjacent sub-regions share the LED devices, wherein the LED devices are provided with identity information; the binary data stream to be sent is subjected to quadrature amplitude modulation, and then the communication data and identity information data are respectively placed on the respective assigned subcarriers, and STBC encoding is performed on the communication data; DC bias optical orthogonal frequency division multiplexing is performed on the above-mentioned processed data; The respective data on each LED device is sent in the form of an optical signal, and the optical signal is transmitted to the receiver after being transmitted in free space, and received by the receiver. The invention is not only simple, but also has high reliability.

Description

technical field [0001] The present invention relates to the technical field of optical communication, in particular to an indoor visible light communication positioning method and system based on machine learning and OFDM. Background technique [0002] With the continuous development of economy and modern technology, people's indoor activity space is becoming larger and more complex, and the demand for navigation and positioning services is also increasing, so positioning technology has received extensive attention. At present, the most commonly used outdoor positioning technologies are Global Positioning System and Beidou Navigation and Positioning System. These positioning technologies have better positioning results outdoors, but because satellite positioning signals are difficult to penetrate large buildings, the positioning results indoors are poor. In order to achieve high-precision indoor positioning, some indoor positioning technologies have been proposed one after a...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04B10/116H04L5/00
CPCH04B10/116H04L5/0008H04L5/0094
Inventor 倪珅晟游善红刘武罗鸣王峰韩淑莹
Owner SUZHOU UNIV
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