Improved position fingerprint positioning method based on crystal type beacon layout

Abstract

The invention provides an improved position fingerprint positioning method based on crystal type beacon layout, which belongs to the technical field of fingerprint positioning, and comprises the following steps: arranging sampling points in a positioning area, and storing the sampling points in a database D; collecting fingerprint information at sampling points, and constructing a fingerprint database RSSI; selecting an iBeacon device adjacent to the iBeacon device with the maximum RSSI value from the fingerprint database RSSI as a reference point, and calculating by using a WKNN algorithm to obtain the relative position of the adjacent iBeacon device; performing accumulation calculation on the absolute position coordinates of the iBeacon equipment with the maximum relative position and RSSI value to obtain an absolute position, and obtaining positioning coordinates; and correcting the positioning coordinates by using a Kalman filter to complete the improved position fingerprint positioning based on the crystal type beacon layout. Compared with a traditional position fingerprint positioning layout structure, the positioning precision is improved.

Description

technical field [0001] The invention belongs to the technical field of fingerprint positioning, and in particular relates to an improved location fingerprint positioning method based on crystal beacon layout. Background technique [0002] At present, the positioning accuracy of the traditional location fingerprint positioning solution mainly depends on the accuracy of the fingerprint library information. Since the iBeacon device itself has attenuation, the transmission power will be reduced when the battery is insufficient, resulting in changes in the fingerprint information. In addition, if the indoor environment changes, due to the multipath effect and shadow attenuation, the signal strength value of the sampling point will also change. With the increase of the positioning area, the number of fingerprint databases will increase linearly. Any errors occur, because these errors will directly reduce the accuracy of positioning. At this time, manpower and material resources a...

AI Technical Summary

Problems solved by technology

[0002] At present, the positioning accuracy of the traditional location fingerprint positioning solution mainly depends on the accuracy of the fingerprint library information. Since the iBeacon device itself has attenuation, the transmission power will be reduced when the battery is insufficient, resulting in changes in the fingerprint information.

In addition, if the indoor environment changes, due to the multipath effect and shadow attenuation, the signal strength value of the sampling point will also change. With the increase of the positioning area, the number of fingerprint databases will increase linearly. Any errors occur, because these errors will directly reduce the accuracy of positioning

At this time, manpower and material resources are needed to update the fingerprint library, so the traditional solution requires a lot of cost. Due to the complexity of the indoor RF environment, the placement of iBeacon devices will also affect the positioning accuracy. Currently, the placement of iBeacon devices b is improved. Improving accuracy is an area that has not received much research attention

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