Indoor area WiFi positioning method and system based on EKNN (Evidence K Nearest Neighbor)

A positioning method and inner area technology, applied in the EKNN-based indoor area WiFi positioning method and system field, can solve the problem of less identification of areas of interest, etc., and achieve high signal coverage, high positioning accuracy, and high positioning efficiency.

Active Publication Date: 2017-03-15
SOUTH CHINA UNIV OF TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

At present, there have been many researches on the methods of WiFi indoor positioning technology, but few of them can be applied to the identification of regions of interest.

Method used

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  • Indoor area WiFi positioning method and system based on EKNN (Evidence K Nearest Neighbor)
  • Indoor area WiFi positioning method and system based on EKNN (Evidence K Nearest Neighbor)
  • Indoor area WiFi positioning method and system based on EKNN (Evidence K Nearest Neighbor)

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Embodiment 1

[0059] With the continuous development of positioning technology, the application environment is becoming more and more diversified. In this embodiment, an EKNN (Evidence K Nearest Neighbor, evidence-based K nearest neighbor) algorithm positioning method. Citing the concept in image recognition technology, the local area that needs to be positioned is called the area of ​​interest. Since the RSSI fingerprint information corresponds to the indoor location one by one, the fingerprint database contained in the area can be established as an important area according to the area of ​​interest. recognized category. Use the evidence theory to construct K-nearest neighbor evidence, and use the Dempster-Shafer (DS) rule for evidence combination and the fifth proportional conflict distribution rule (Proportional Conflict Redistribute No.5Rules, PCR5) for evidence fusion to determine which category the target belongs to, and then According to the needs, combined with the improved weighte...

Embodiment 2

[0122] as attached image 3 As mentioned above, this embodiment discloses an indoor area WiFi positioning system based on EKNN, the system includes: RSSI fingerprint acquisition module, RSSI fingerprint transmission module, fingerprint classification module, identification target category module, area category positioning module, category within the precise positioning module.

[0123] The following describes the functions of each module in detail:

[0124] RSSI fingerprint acquisition module, this module is used for terminals to scan WiFi signals to obtain RSSI fingerprints.

[0125] The workflow of this module is as follows:

[0126] Set the reference point to cover the indoor area, collect all RSSI signals in the positioning area, scan the RSSI signal at each reference point and store it in the fingerprint database for use in positioning;

[0127] When positioning, scan the WiFi signal, obtain a set of RSSI fingerprints of the positioning target, and use it as an input f...

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Abstract

The invention discloses an indoor area WiFi positioning method and a system based on EKNN (Evidence K Nearest Neighbor). The positioning method comprises the following steps: a terminal scans WiFi signals, and a received signal strength indicator (RSSI) fingerprint is acquired; the scanned RSSI fingerprint is sent to a server in a wireless network communication mode; a region of interest class is divided, and a corresponding fingerprint database is built at the server side; a target attribution region class is recognized, and at the server side, through the integrated EKNN positioning algorithm, the target attribution region class is recognized; the target attribution region class is outputted to the terminal, and if no precise positioning is needed, the region class of the target is outputted; and finally, the EKNN algorithm is used for intra-class precise positioning. According to the WiFi positioning method based on the EKNN algorithm, requirements of indoor region of interest recognition and precise positioning are met, and the region recognition precision, the positioning precision and the positioning efficiency are enhanced to a certain degree.

Description

technical field [0001] The invention relates to the technical fields of communication, signal and information processing, and location-based services, and in particular to an EKNN-based indoor area WiFi positioning method and system. Background technique [0002] With the rapid development of mobile Internet and mobile terminals, people's demand for positioning is not only limited to outdoors, indoor positioning technology has also become a research hotspot, and various indoor positioning technology research has also made breakthroughs. Among them, WiFi network technology is applied to indoor One of the technologies with the most positioning research fields, it has the characteristics of high WiFi signal coverage, a large number of end users, and long transmission distances, which makes WiFi positioning technology more and more researched in the field of indoor positioning. [0003] The main methods in the research of various positioning technologies are divided into three c...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04W64/00
CPCH04W64/006
Inventor 傅予力杨帅黄志建陈培林唐杰
Owner SOUTH CHINA UNIV OF TECH
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