A wireless indoor positioning method

Abstract

The invention provides a wireless indoor positioning method. The method comprises the following steps of: by the adoption of an intelligent cellphone, automatically collecting wireless fingerprint data and user mobile data, forming a fingerprint collection F and a distance matrix D', and carrying out pre-treatment; according to the fingerprint collection F and the distance matrix D' after pre-treatment, building a fingerprint space; and generating a plane graph without stress, carrying out extraction of key characteristics, and carrying out space coordinate conversion, wherein the extraction of key characteristics comprises recognition of a passageway, recognition of a room and matching of a reference point, and the space coordinate conversion comprises conversion of a floor level and conversion of a room level. According to the wireless indoor positioning method, a manual site survey is not needed for a positioning area, the fingerprint information can be conveniently provided by coordination of multiple users in a system, the precision on a positioning result is high, the logic is excellent, and redundant information generated in inquiry and usual movement can be taken as update information.

Description

technical field [0001] The invention belongs to the field of wireless indoor positioning and relates to a wireless indoor positioning method. Background technique [0002] The popularity of mobile phones and the promotion of ubiquitous computing have spawned a large number of researches on wireless indoor positioning. Most current indoor positioning methods use received signal strength (Received Signal Strength, RSS) to determine the position. And RSS fingerprints can be easily obtained from off-the-shelf wireless network devices (such as WiFi or ZigBee compatible devices). [0003] The traditional wireless fingerprint positioning technology adopts a two-stage model. The first stage is the training stage, or called the signal acquisition stage, that is, the wireless signal strength (such as the Wi-Fi signal strength or Zig-Bee signal strength of different wireless routes) at various positions in the room is artificially measured in advance. record, and store the record re...

AI Technical Summary

Problems solved by technology

[0005] (1) High-cost and low-efficiency manual site surveys are required

[0006] 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

[0007] (2) Poor tolerance to environmental changes and wireless signal fluctuations

[0008] 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

[0009] (3) Logical positioning at the room level cannot be achieved

[0010] Most of the traditional methods aim to realize the positioning of absolute coordinates, and cannot distinguish between different rooms

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