Crowdsourcing updating method and system for position fingerprint database

Abstract

The invention provides a crowdsourcing updating method and a crowdsourcing updating system for a position fingerprint database, and belongs to the field of positioning technologies. The method comprises the steps as follows: a positioning server position fingerprint database is built; movement of a honeycomb mobile terminal is estimated; a honeycomb base station configures the honeycomb mobile terminal in a connected state to perform periodical channel measurement; a positioning server finds positioning grids to which coordinates point according to coordinate information in all air interface records, and uses signal strength information of the air interface record as a standby fingerprint for updating the corresponding positioning grid fingerprint; and the positioning server updates a corresponding component in a feature position fingerprint vector of the corresponding positioning grid. The system achieves omnibearing monitoring. According to the method, the fingerprint update period is improved, the signaling overhead is reduced, and the update cost is reduced.

Description

technical field [0001] The invention relates to a method and system for updating a location fingerprint database by crowdsourcing. Background technique [0002] Driven by the great Internet and artificial intelligence, the demand for location-based services in indoor environments is growing rapidly. Whether it is emergency rescue under special circumstances, or positioning navigation and personalized push in daily life, it is necessary to obtain people's physical location. At present, indoor positioning technologies are generally divided into three categories: geometric positioning methods, proximity positioning methods, and fingerprint matching positioning methods. [0003] The advantage of the fingerprint positioning method is that it does not need to establish a channel parameter model to estimate the distance between transceivers in the multilateral positioning method. Click on the specific location and layout. [0004] One of the keys to the fingerprint location algo...

AI Technical Summary

Problems solved by technology

Experiments have shown that the propagation of RF signals in indoor environments is very complex. Facilities such as walls, doors, windows, tables and chairs, and people moving around will cause multipath and shadow effects in RF signal propagation, resulting in indoor access point signals received at fixed indoor locations. Highly variable; in addition, access points deployed indoors may fail or change locations

These mean that the location fingerprint library established in the offline stage needs to be maintained and updated frequently, and it is impossible to do it once and for all, otherwise the positioning results will be inaccurate

However, it is very labor-intensive to use the method of regularly updating the fingerprint library by a special person

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