Indoor location method and device based on non-automatically deployed APs

Abstract

The invention discloses an indoor location method and device based on non-automatically deployed APs (Access Points). The method comprises the steps of collecting location fingerprint data offline based on existing APs of an existing surrounding; carrying out processing on the location fingerprint data collected in an offline stage; sorting and screening the APs; processing offline data by employing a terminal difference solution algorithm, thereby obtaining a final offline location fingerprint database for assisting indoor location judgment; after fixed value filling is carried out on the corresponding APs of the offline location fingerprint databases according to real-time data, through combination of online real-time received signal strength indicator vectors and the offline location fingerprint database, calculating a Euclidean distance; and calculating a final location result by employing a WKNN algorithm. Compared with the prior art, the indoor location system provided by the invention has the advantages that it is unnecessary to deploy the APs additionally, a great deal of base station plan and deployment work can be avoided, the location stability of the system is improved, and the system has better application value in practical engineering.

Description

technical field [0001] The invention belongs to the research field of indoor positioning in wireless communication systems, in particular to an indoor positioning method and device based on non-autonomous deployment of APs. Background technique [0002] With the continuous development of positioning technology and people's increasing demand for location information, it is necessary to deploy indoor positioning systems in various indoor environments, such as shopping plazas, stations, airports, hospitals, etc., to meet the needs of users in location navigation, medical monitoring, etc. , logistics tracking and other aspects of demand. At present, the research on indoor positioning is mainly divided into two categories: positioning technology based on signal propagation model (such as signal direction of arrival or time difference, etc.) and positioning technology based on signal location fingerprint. [0003] The positioning technology based on the signal propagation model u...

AI Technical Summary

Problems solved by technology

[0009] 1. There are already abundant WiFi hotspots in the existing scene. From the perspective of the number of APs, there is no need to deploy APs for indoor positioning;

[0010] 2. There are already a large number of APs, and a large number of wireless signals transmitted by them will affect the receiving power of the self-deployed AP by the terminal, increase the positioning error, and reduce the stability of the indoor positioning system

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