Video-assisted radiofrequency positioning method and apparatus

Abstract

The invention discloses a video-assisted radiofrequency positioning method and apparatus which assist radiofrequency positioning by using video positioning in order to achieve high-precision indoor positioning. The radiofrequency positioning apparatus comprises signal transmitters and a signal receiver. A signal link is formed between each signal transmitter and the signal receiver. An indoor space required to be positioned is divided into a plurality of unit grids. The indoor unit grids are positioned according to the RSSI value change of each signal link and a fingerprint matching algorithm. The radiofrequency positioning achieves indoor positioning and mobile monitoring functions. The video positioning determines a number unit where a current positioner is located, determines the movement of an object mainly by using a frame difference method, and is specifically implemented by designing a calibrator. The calibrator updates the information of a radiofrequency fingerprint database in real time in order to assist an increase in the radiofrequency positioning precision. The video-assisted radiofrequency positioning method and apparatus achieve purposes of long positioning time, high precision, low energy consumption, saving of resources, and decrease in personal privacy violation.

Description

technical field [0001] The invention relates to the technical field of indoor positioning, in particular to a video-assisted radio frequency positioning method and device. Background technique [0002] Radio frequency-based DfP (Device-free Passive) positioning can already be used to achieve indoor positioning. The advantages of this technology are convenience and low power consumption. At the same time, people do not need to carry any equipment and can be widely used in various places. However, simply using fingerprint identification for radio frequency positioning greatly depends on the accuracy of the fingerprint database. Since the current environment will change over time, the matching accuracy of the fingerprint database will deteriorate. If the fingerprint database cannot be guaranteed The real-time update will lead to the decline of radio frequency positioning accuracy. [0003] Ordinary video positioning is affected by light. For example, at night, video positionin...

AI Technical Summary

Problems solved by technology

However, simply using fingerprint identification for radio frequency positioning greatly depends on the accuracy of the fingerprint library. Since the current environment will change over time, the matching accuracy of the fingerprint library will deteriorate. If the fingerprint library cannot be guaranteed The real-time update will lead to the decline of radio frequency positioning accuracy

[0003] Ordinary video positioning is affected by light. For example, at night, video positioning cannot be used; secondly, video positioning requires real-time monitoring, and if it is simply used for video positioning, it will also consume a lot of resources; video positioning can be used in some public places. It has a good effect, but it will have an impact on personal privacy for home use; although video positioning has a high positioning recognition rate, the conditions are relatively limited and cannot adapt to the impact of frequent environmental changes.

[0004] Although there are many kinds of indoor positioning technologies at present, most of them are single indoor positioning or a simple combination of two positioning methods. Some of these positioning methods cannot meet long-term high-precision positioning, and some generate resource waste or the interests of the positioned person are affected

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