A method and system for calibrating a positioning reference point in a wireless positioning system

Abstract

The embodiment of the present invention discloses a calibration method for positioning reference points in a wireless positioning system, including: setting the coordinates of the first positioning reference point as the origin of the coordinate system; selecting the second positioning reference point and the third positioning reference point, at the first Determine the direction of the first coordinate axis and the second coordinate axis of the coordinate system in the plane formed by the positioning reference point, the second positioning reference point and the third positioning reference point, and calculate the second positioning reference point and the third positioning reference point coordinates; select all remaining positioning reference points in the wireless positioning system one by one, and determine the coordinates of the selected positioning reference point in the coordinate system by calculating the distance from the selected positioning reference point to at least three positioning reference points with known coordinates. The invention also discloses a wireless positioning system. The invention can realize low maintenance cost, and avoid manual position calibration during the initial arrangement and no need for manual calibration again when the beacon is adjusted or replaced later.

Description

technical field [0001] The invention relates to the field of computer network communication, in particular to a calibration method of a positioning reference point in a wireless positioning system and a wireless positioning system. Background technique [0002] With the popularity of smart mobile devices (such as mobile phones, wearable devices, etc.), smart homes, smart shopping malls and buildings are also booming. Wireless positioning technology (including indoor positioning technology) is the basic core technology supporting the industry. It can sense the position of the user carrying the mobile terminal in the environment in real time (or quasi-real time, that is, triggered at certain key points or places) , transmitted to the background server for collection, aggregation, and combined with data mining methods to analyze the big data flow of individual users or user groups to discover valuable knowledge, trends or business opportunities. [0003] In the process of impl...

AI Technical Summary

Problems solved by technology

[0008] The above-mentioned first type of method can be regarded as a "batch processing" method. Later, when the position of beacons in a certain area is adjusted, or the number increases or decreases, or equipment is replaced or upgraded, etc., it is necessary to redefine beacons in a larger area. Re-measurement, high maintenance costs

The second type of approach, although the newly added nodes can be dynamically measured and calibrated with the continuous arrangement of nodes, if you want to adjust the position or number of beacons, etc., you only need to re-measure the changed beacons And calibration, it will not affect other beacons, and the maintenance cost is relatively low. However, manual position calibration is required during the initial layout, and manual calibration is required when the beacon is adjusted or replaced later, and the labor cost is high.

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