A fingerprint locating method and a system in a smart classroom

一种指纹定位、教室的技术，应用在智慧教室内的指纹定位方法及系统领域，能够解决定位结果不稳定、定位精度不高、环境适应性差等问题，达到强环境适应性、高定位精度、小定位误差波动的效果

Active Publication Date: 2018-12-11
HUAZHONG NORMAL UNIV
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  • Application Information

AI Technical Summary

Problems solved by technology

[0009] Aiming at the problems of low positioning accuracy, poor environmental adaptability and unstable positioning results in the traditional indoor fingerprint positioning algorithm, the present invention proposes a fingerprint positioning method in a smart classroom, the purpose of which is to improve indoor positioning accuracy and environmental adaptability and the stability of positioning results

Method used

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  • A fingerprint locating method and a system in a smart classroom
  • A fingerprint locating method and a system in a smart classroom
  • A fingerprint locating method and a system in a smart classroom

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Embodiment approach

[0063] According to a preferred implementation mode: calculate the Euclidean distance between the point to be measured and the anchor node according to the signal strength: in, α is the weight index.

[0064] (T3) Calculate the coordinates (X, Y) of the point to be measured according to the reference anchor node:, (x k ,y k ) is the coordinate of the kth reference anchor node, ω k is the weight coefficient, k=1,...,K;

[0065] The weight factor d k Indicates the Euclidean distance between the point to be measured and the kth reference anchor node, the weight index β can be determined through experiments, or because its change will cause the change of the average error, so there is a functional relationship between β and the average error, according to the weight Curve fitting is performed on the scatter diagram of the index and the average positioning error, and the β value when the average positioning error takes the minimum value is the optimal value.

[0066] α ...

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Abstract

The invention discloses a fingerprint positioning method in a wisdom classroom, in particular: firstly, Gaussian filtering and averaging the radio signal strength value RSSI in a fingerprint database;and then finding the nearest neighbor to the signal strength of the point to be measured; finally, taking the Euclidean distance as the weight reference, obtaining the weighted centroid of the nearest neighbor points, and introducing the weight index as the index of the weight value to obtain the coordinates of the nodes to be measured. The invention has higher positioning accuracy, smaller positioning error fluctuation and stronger environmental adaptability.

Description

technical field [0001] The invention belongs to the technical field of positioning, and more specifically, relates to a fingerprint positioning method and system in a smart classroom. Background technique [0002] It is very important to do a good job in attendance inspection and recording, real-time interaction between teachers and students, teaching-related data transmission and recording, and group interactive teaching in smart classrooms. Classroom spatial orientation is studied. Aiming at complex indoor environments, a variety of indoor positioning technologies have emerged, such as positioning technologies based on wireless local area network, RFID, ZigBee and iBeacon. Indoor positioning based on iBeacon technology has the advantages of low cost and low power consumption, so there have been many researches on indoor positioning algorithms based on iBeacon technology. [0003] iBeacon is a low-energy Bluetooth technology. Its working principle is similar to the previo...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04W4/02H04W4/021H04W64/00
CPCH04W4/02H04W4/021H04W4/023H04W64/00G01S5/02521G01S5/02525G01S2205/02H04W16/20H04B17/318H04W4/33G01S5/0252G01S11/06H04W8/005H04W64/003H04W4/80
Inventor 戴志诚刘三女牙陈增照何秀玲李小年
Owner HUAZHONG NORMAL UNIV
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