iBeacon-based indoor positioning method

An indoor positioning and seeding technology, applied in the field of indoor positioning based on iBeacon, can solve the problem of time-consuming and achieve the effect of saving time, improving accuracy, saving time and resources

Inactive Publication Date: 2019-03-29
周子易
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, when the indoor scale is large, a large number of signal acquisitions are required in the fingerprint acquisition (i.e. training) phase, which is time-consuming

Method used

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  • iBeacon-based indoor positioning method
  • iBeacon-based indoor positioning method
  • iBeacon-based indoor positioning method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0047] Step 1. Divide the entire area into multiple polygonal sub-areas and number each sub-area, wherein the identical sub-areas are the same sub-area;

[0048] The specific division method of dividing the whole area into multiple polygonal sub-areas:

[0049] (1) Divide several identical squares in the whole area;

[0050] (2) judge whether there is an undivided area, if not, then perform step 3, if there is an undivided area, divide some identical rectangles in the undivided area;

[0051] (3) Judging whether there is an undivided area, if not, then perform step 3, if there is still an undivided area, divide a number of identical isosceles right triangles in the undivided area, until the area of ​​each scattered area in the undivided area is equal to less than 13m 2 .

[0052] combine figure 2 As shown, this embodiment provides a division method, and lays iBeacon devices at the vertices of each polygon. In the figure, the area surrounded by each solid line is a sub-are...

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Abstract

The invention discloses an iBeacon-based indoor positioning method. According to the method, an area to be detected is reasonably divided; a BP artificial neural network is constructed by taking the final signal strength RSSI value of each access point AP in a sub-area as the input and the relative coordinate of a reference point corresponding to the coordinate origin as the output; furthermore, the BP artificial neural network is trained; and then, positioning is carried out. According to the indoor positioning method in the invention, only a sub-area in different types of sub-areas needs tobe trained in a training stage; the training cost is greatly reduced; all reference points do not need to be traversed in a real-time positioning stage; and only prediction needs to be carried out according to trained parameters.

Description

technical field [0001] The invention relates to the field of indoor positioning, in particular to an iBeacon-based indoor positioning method. Background technique [0002] Due to the poor signal of traditional GPS in indoor environment, it is impossible to accurately locate. Indoor positioning technology is eager to be applied in many large indoor places, such as museums, large shopping malls, underground parking lots, etc. The research on indoor positioning technology is divided into two directions from the perspective of network coverage: local area and wide area indoor positioning. The positioning solutions for indoor positioning using technologies such as WiFi, Bluetooth, ZigBee, and RFID are all local indoor positioning, and these networks have a small coverage area, so they all realize indoor positioning based on the local area network; and wide-area indoor positioning technologies usually need to design Special chips, and even related base stations have to be transfo...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04W4/021H04W4/33H04W4/80H04W64/00
CPCH04W64/006
Inventor 周子易
Owner 周子易
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