Construction method of position fingerprint database and positioning method based on position fingerprint database

Abstract

The invention discloses a construction method of a position fingerprint database and a positioning method based on the position fingerprint database. Through collecting samples in different time sections, a fingerprint sequence group is formed, and diversification of the fingerprint sequence is kept; moreover, through replacing a single fingerprint sequence by the fingerprint sequence group, influence of change of surrounding environment on the positioning result is reduced, and the position fingerprints based on the fingerprint sequence group of all sampling points are obtained; the position fingerprints of all sampling points are combined into a position fingerprint base; the obtained result of matched RSSI (received signal strength indicator) sequence and the position fingerprint base in real time is classified into K zones; according to the matched result, different zones are classified, and values of weight factors corresponding to different zones are calculated; namely, different weight values are given for the sampling points in different zones, so as to distinguish the influences of different sampling points on the points to be positioned; a weight parameter is solved through feedback, and can better adapt to the environment of positioning scene; thus the positioning precision is improved.

Description

technical field [0001] The invention belongs to the technical field of indoor positioning, and in particular relates to an indoor positioning method based on WLAN fingerprints. Background technique [0002] At present, the WLAN positioning system can be roughly divided into two categories, the positioning based on the propagation model and the positioning based on the location fingerprint. [0003] Due to the complex indoor environment and the diffraction, reflection, scattering and multipath transmission of radio signals during propagation, some parameters of the propagation model are difficult to determine. As a result, the positioning accuracy of the positioning system based on the propagation model is generally poor, or additional special hardware for signal measurement is required, and the network needs to be re-deployed, and the cost is high, which limits the application range of the positioning method based on the propagation model. [0004] The positioning method ba...

AI Technical Summary

Problems solved by technology

[0005] The position-based fingerprint positioning method in the above prior art is affected by the complex and changeable environmental points in the room, resulting in relatively large fluctuations in positioning accuracy and poor positioning anti-interference ability. One sampling point collects the RSSI information of multiple APs, and calculates the average RSSI value of each AP in the test point as the location fingerprint of the sampling point. However, in an indoor environment, different traffic flows and different time periods will affect the RSSI received from the AP. It has a great impact, and the non-real-time nature of the location fingerprint library seriously affects the positioning accuracy

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