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A method for discriminating indoor positioning floor based on improved fuzzy kernel clustering

A technology of fuzzy kernel clustering and indoor positioning, applied in location information-based services, specific environment-based services, positioning, etc., can solve information redundancy, inaccurate floor discrimination results, and not particularly obvious differences between adjacent floors, etc. problem, to achieve the effect of improving accuracy

Inactive Publication Date: 2018-12-18
SOUTHEAST UNIV
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AI Technical Summary

Problems solved by technology

[0004] However, in general large buildings, in order to ensure network coverage without dead spots and communication quality, a sufficient number of enterprise-level APs are deployed, and their signal penetration is strong. Therefore, the signal of the same AP may appear on multiple floors, and in Differences between adjacent floors are not particularly noticeable
If all APs in the positioning area are selected for floor discrimination, there will be serious information redundancy, which may lead to inaccurate floor discrimination results

Method used

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  • A method for discriminating indoor positioning floor based on improved fuzzy kernel clustering
  • A method for discriminating indoor positioning floor based on improved fuzzy kernel clustering
  • A method for discriminating indoor positioning floor based on improved fuzzy kernel clustering

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[0053] In a preferred example of the present invention, in Figure 2-4 The experiment is carried out in the indoor positioning scene shown in the figure. The dotted line in the figure indicates the reference point collection path, and the distance between each reference point is 1m; the scene has a total of 3 floors, and the area of ​​each floor is 50m×20m. There are several layouts of rooms, toilets, and stairs. The wireless access point adopts the access point with the SSID "seu-wlan" uniformly deployed by the school in the corridor. 51, 42, and a total of 82 visible APs on the three floors. The red dotted line indicates the reference point collection path, and the interval between adjacent reference points is 1m. A total of 171 reference points were collected, of which the number of reference points on the 1st, 2nd, and 3rd floors were 50, 31, and 90, respectively.

[0054] Use Huawei Honor 8 (Youth Edition) smart phone, write LIPS software, collect the RSSI value from onl...

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Abstract

A method for discriminating indoor positioning floor based on improved fuzzy kernel clustering includes collect received signal intensity (RSSI) of only WiFi access point (AP) visible in each floor ofpositioning area, and establishing original position-fingerprint database corresponding to each floor and the signal intensity distribution range database of all APs between floors; 2. by adopting the improved fuzzy kernel clustering algorithm, clustering the original position-fingerprint databases to obtain location-fingerprint database with classification markers; 3. according to the real-timecollected WiFi signal intensity data, the floor of the point to be detected is judged by rough classification and clustering center. The invention is based on the idea of rough classification and clustering, and can quickly and effectively judge the floor of the point to be detected in the indoor positioning.

Description

technical field [0001] The invention belongs to the technical field of indoor positioning, in particular to an indoor positioning floor discrimination method based on improved fuzzy kernel clustering. Background technique [0002] Indoor positioning has a good application prospect, and a large number of scholars have explored it. However, in previous related studies, most of them focused on the plane positioning accuracy and performance of the same floor, and the height information was often ignored or indicated by additional hardware devices. It even needs to be specified manually. In large multi-floor indoor venues, height information is an important part of location-aware services, and traditional location-aware services based on two-dimensional planes cannot meet user needs. Therefore, multi-floor indoor positioning schemes have gradually attracted people's attention. [0003] Due to the advantages of wide coverage, low network deployment cost, and can be used for comm...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04W64/00H04W4/33H04W4/02G01S5/02
Inventor 王东杜凯颖何倩曹斌
Owner SOUTHEAST UNIV
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