Wireless indoor positioning method based on off-site survey

Abstract

The invention relates to a wireless indoor positioning method based on off-site survey and belongs to the technical field of wireless positioning. The method comprises the following steps: firstly automatically collecting fingerprint data by utilizing an intelligent mobile phone and forming a data set; generating virtual rooms by utilizing a K average algorithm based on second-order difference values of wireless signals in the data set; reading and extracting a user mobile path according to a sensor to obtain a connected relation of the virtual rooms and establishing a logic plan; mapping the logic plan onto an actual plan and obtaining a fingerprint-position relation; and matching the virtual rooms containing position requests submitted by a user, retrieving a fingerprint-position relation database and judging the user position. The wireless indoor positioning method has the advantages that a positioning area is not required to be subjected to artificial site survey, and the position, and the power and other information of a wireless access point are not required; the logic positioning of a room level is realized by fully utilizing the mobile information of a person; and the current position of the user is given, so that not only are the positioning precision and the real time improved, but also the time of the user is saved.

Description

technical field [0001] The invention relates to a wireless indoor positioning method based on off-site survey, and belongs to the technical field of wireless positioning. Background technique [0002] With the development and popularization of wireless communication technology, the practicability of wireless devices has been greatly improved, and smart phones with multiple sensor functions have been widely used. These technologies have realized the effective integration of the information world and the physical world, making human-centered pervasive computing possible. At present, the number of large-scale buildings in China continues to increase, and large-scale shopping malls, exhibitions and events are swarming. Most of people's commercial and social activities are carried out indoors, so the importance of indoor positioning is self-evident. No matter from the perspective of convenience in daily life or from the direction of ensuring personal and property safety, accurat...

AI Technical Summary

Problems solved by technology

[0006] (1) High-cost and low-efficiency manual site surveys are required

[0007] On-site survey requires wireless signal fingerprint sampling and manual labeling for each position in the positioning area, which is time-consuming and laborious, and it is difficult to cover all positions in the positioning area

[0008] (2) Poor tolerance to environmental changes and wireless signal fluctuations

[0009] One of the characteristics of the indoor environment is that the environment is changeable, and the wireless signal propagation characteristics are complex, and the signal volatility is large

The method based on site survey is difficult to adapt to the dynamic changes of the environment; the traditional method directly uses the Euclidean distance between wireless signal fingerprints as a feature, which is difficult to adapt to the volatility of wireless signals

[0010] (3) Logical positioning at the room level cannot be achieved

[0011] Most of the traditional methods aim to realize the positioning of absolute coordinates, and cannot distinguish between different rooms

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