Indoor positioning method based on magnetic field information and motion sensor

Abstract

The invention relates to an indoor positioning method based on magnetic field information and a motion sensor. The indoor positioning method includes that data are collected through a data collection module of a mobile side, the data received by the mobile side are processed to acquire path data which are uploaded to a server side, real-time positioning information is collected through a collection module of the mobile side, processed and then uploaded to the server side, an EMD method is utilized for decomposition to generate a trend sequence reflecting original data trend according to map data in the server side, motion information limiting is added for matching, a K-means clustering method is utilized to find proper sub paths of sectional paths, a path merging module is utilized to select a better overall path, and a matching result is returned to the mobile side for displaying. By the method, accurate indoor positioning effect of a magnetic field is utilized. The improved algorithm is utilized to realize a simplified algorithm, processing of step counter information is reduced, and the problem of error accumulation caused by a step counter can be solved effectively.

Description

technical field [0001] The invention relates to indoor positioning technology, in particular to an indoor positioning method based on magnetic field information and motion sensors. Background technique [0002] Indoor positioning refers to the realization of position positioning in the indoor environment, and the monitoring of the position of people, objects, etc. in the indoor space. When satellite positioning cannot be used in the indoor environment, indoor positioning technology is used as an auxiliary positioning of satellite positioning, which can solve the problem of satellite signals reaching the ground. weaker and unable to penetrate buildings. With the continuous development of information technology, the practicability and necessity of indoor positioning in some specific occasions has become increasingly significant. Its application prospects are broad and its research significance is very great. It is also a very hot topic at present. For example, positioning gui...

AI Technical Summary

Problems solved by technology

But these systems mainly have some problems more or less: (1) need universal or special infrastructure installation, this has caused relatively high cost

(2) The pre-acquisition process of these systems is quite time-consuming, and it is often necessary to collect signal vectors by standing at different fixed points in the area. Such a process is very labor-intensive and material resources

(3) Changes in the indoor environment have a greater impact on the data

Additionally, previous methods relied heavily on finely tuned pedometers, yielding precise steps, distance traveled, and direction

In fact, the pedometer itself is not resistant to motion, and errors tend to accumulate over time

They also require initial target position and step size information, which is often not available or convenient in practical deployments

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