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Indoor positioning method based on reception signal intensity clusterinf and reference point position clustering

A technology of received signal strength and indoor positioning, applied in the field of indoor positioning and wireless communication, can solve the problems of reference point error, disturbance, inappropriate attribution, etc., and achieve the effect of good clustering effect

Active Publication Date: 2016-01-06
XIDIAN UNIV
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Problems solved by technology

However, due to the influence of external factors such as access point layout, building structure, and people's walking, reference points far away may have similar RSS, resulting in the same cluster when clustering, or disturbances when collecting RSS. It leads to large errors in the RSS of some reference points, which may be attributed to inappropriate clusters during clustering
directly lead to the decrease of positioning accuracy

Method used

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  • Indoor positioning method based on reception signal intensity clusterinf and reference point position clustering
  • Indoor positioning method based on reception signal intensity clusterinf and reference point position clustering
  • Indoor positioning method based on reception signal intensity clusterinf and reference point position clustering

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Embodiment Construction

[0035] Preferred examples of the present invention will be described in detail below with reference to the accompanying drawings.

[0036] refer to figure 1 , the implementation steps of the present invention are divided into off-line stage and on-line stage, set up fingerprint database in off-line stage, on-line stage is used for real-time positioning, concrete realization steps are as follows:

[0037] Step 1, establishing a fingerprint database in the offline stage.

[0038] 1a) Select an area where Wi-Fi access points APs are deployed. This example area is part of the main building II area of ​​Xidian University, with a length of about 21 meters and a width of about 8 meters. figure 2 shown;

[0039] 1b) at figure 2 Select N=37 reference points RPs in the area, such as image 3 shown, and measure the received signal strength RSS from the surrounding L=36 access points APs received by these 37 reference points in four directions, and store them in the database. This d...

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Abstract

The invention discloses an indoor positioning method based on reception signal intensity clustering and reference point position clustering, solving the problem that the reference point clustering of the current indoor positioning method is not accurate and positioning accuracy is poor. The indoor positioning method disclosed by the invention comprises steps of (1) choosing a reference point, measuring reception signal intensity and storing into a database, (2) performing first time clustering on all reference point according to the reception signal intensity, (3) performing second time clustering on the cluster obtained through the first time clustering, (4) calculating the distance between the clusters obtained through the second time clustering, wherein the clusters having small distances are combined into one cluster, (5) measuring the reception signal intensity of a point to be positioned and roughly positioning the matched clusters, and (6) utilizing the roughly positioned matched clusters and sensing the precise positioning through compression. The invention reduces the positioning errors, improves the positioning accuracy and is used for the indoor positioning of the Wi-Fi reception machine.

Description

technical field [0001] The invention belongs to the field of wireless communication technology, and further relates to the field of indoor positioning, which can be used to cover the indoor environment of Wi-Fi signals to complete the positioning of the current position. Background technique [0002] At present, with the development of wireless networks and the widespread deployment of wireless local area networks, Wi-Fi-based indoor positioning technology has received extensive attention. In the indoor environment covering the Wi-Fi network, the location of the mobile user is determined by measuring the received signal strength RSS from the access point APs and combining with the collected signal strength database. This positioning algorithm based on location fingerprints is widely used because of its high positioning accuracy, full use of existing facilities, and little impact on users for upgrades and maintenance. In order to improve the positioning accuracy and efficien...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01S5/02
CPCG01S5/0252
Inventor 卢小峰张海林杨宇辰王建林赵永磊张子博
Owner XIDIAN UNIV
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