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Improved RBF neural network indoor visible light positioning method and system

A technology of neural network and positioning method, applied in the field of improving indoor visible light positioning of RBF neural network, can solve the problems of different signal strength, ranging error, positioning error, etc., and achieve the effect of strong generalization and strong generalization.

Pending Publication Date: 2021-08-06
JILIN INST OF CHEM TECH
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  • Abstract
  • Description
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AI Technical Summary

Problems solved by technology

However, there are many problems in RSSI positioning that will cause positioning errors: First, due to indoor light shading, people walking and other problems, the received optical power of each corner of the indoor space is not the same, and the positioning accuracy of each corner of the indoor space is different.
Second, the least squares in the RSSI positioning algorithm will produce ranging errors and other problems, which will lead to reduced positioning accuracy and inaccurate positioning
Due to the different intensity of the optical signal received by the PD and the uneven distribution of indoor light, it is impossible to accurately find the location indoors.

Method used

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  • Improved RBF neural network indoor visible light positioning method and system
  • Improved RBF neural network indoor visible light positioning method and system
  • Improved RBF neural network indoor visible light positioning method and system

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Embodiment

[0070] In this system, the LED in the indoor space transmits the optical signal through the indoor space channel, and the receiving end uses the PD detector to convert the obtained optical signal into an electrical signal for positioning. The overall structure of the technical solution of the present invention is as follows: figure 1 shown.

[0071] In the present invention, firstly, the indoor ceiling is evenly divided to form a 4*3 grid, and an LED light group is placed in each grid, and each LED light group consists of 7*7 LEDs to form a rectangular array, such as figure 1 shown. Due to the multipath effect and noise interference when the light source propagates. Therefore, the present invention optimizes the LED light intensity to make the received light power uniform, ensure that the communication power and lighting distribution of each position in the room are almost the same, and improve the indoor positioning accuracy.

[0072] The invention optimizes the light inte...

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Abstract

The invention discloses an improved RBF neural network indoor visible light positioning method and system. An LED in an indoor space emits a light signal, the light signal passes through an indoor space channel, and a receiving end converts the obtained light signal into an electric signal for positioning through a PD detector; and the method comprises the steps of calculating an illumination intensity value with minimum optical power fluctuation, calculating positioning, and optimizing an RBF neural network; the optimization of the RBF neural network comprises the following steps: improving the performance of the RBF neural network by using a KPCA-K-means++ model, namely clustering RSSI data collected by a receiving end by using the KPCA-K-means++ model to obtain an optimal clustering center and an optimal clustering number as the number of neurons and a neuron center of a hidden layer; and establishing a GA-LMS model to optimize RBF neural network parameters, that is, obtaining accurate width and connection weight by utilizing GA-LMS, and finally obtaining accurate positioning coordinates , so that the method is higher in generalization.

Description

technical field [0001] The invention relates to an improved RBF neural network indoor visible light positioning method and system based on a KPCA-K-means++ model and a GA-LMS model. Background technique [0002] With the development of positioning technology becoming more and more mature, people are no longer satisfied with positioning in an outdoor environment, and indoor positioning technology has gradually attracted the attention of experts. If we can make full use of indoor positioning technology, then this technology will bring more convenience to our life and can solve the location problems in various indoor places. The Global Positioning System (GPS) is widely used in positioning technology, but due to the attenuation of the satellite signal reaching the ground, it is difficult to penetrate a complex building, which will cause a large positioning error [1] . Existing indoor positioning technologies include infrared indoor positioning technology, Bluetooth indoor pos...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01S5/16G06K9/62G06N3/04G06N3/08
CPCG01S5/16G06N3/04G06N3/086G06F18/23213G06F18/2135
Inventor 张慧颖于海越卢宇希王凯梁誉张洋羊于铭正李明浩张力
Owner JILIN INST OF CHEM TECH
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