WLAN (Wireless Local Area Network) fingerprint positioning method based on RSS (Really Simple Syndication) linear correlation and re-weighted centroid algorithm

A weighted centroid and linear correlation technology, applied in positioning, wireless communication, radio wave measurement systems, etc., can solve the problems of poor robustness of mobile terminals, large error in final positioning position estimation, and insufficient utilization of RSS sample data, etc.

Active Publication Date: 2016-11-09
HANGZHOU DIANZI UNIV
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AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to solve the problems that the existing positioning method RSS sample data is not fully utilized, the robustness of different mobile terminals is poor, and the final positioning position estimation error is large, so as to maintain the stability and high positioning accuracy of the indoor positioning system

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  • WLAN (Wireless Local Area Network) fingerprint positioning method based on RSS (Really Simple Syndication) linear correlation and re-weighted centroid algorithm
  • WLAN (Wireless Local Area Network) fingerprint positioning method based on RSS (Really Simple Syndication) linear correlation and re-weighted centroid algorithm
  • WLAN (Wireless Local Area Network) fingerprint positioning method based on RSS (Really Simple Syndication) linear correlation and re-weighted centroid algorithm

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[0055] figure 1 In, the flow chart of the WLAN fingerprint positioning method based on the RSS linear correlation and the quadratic weighted centroid algorithm is described, combined below figure 1 Give detailed instructions.

[0056] Step S1, establishment of offline fingerprint database

[0057] 1.1 RSS sample collection

[0058] Arrange Q reference points in the target positioning environment, and collect RSS sample data of different APs at the reference points. Taking reference point K as an example, the RSS sample data collected at reference point K is filtered by limiting average filtering method, and finally obtained N groups of RSS sample sequences processed by filtering {s K :RSS K,1 RSS K,2 …RSS K,N};

[0059] K represents the reference point, N represents the number of RSS sample groups collected by reference point K, s K Denotes the RSS sample sequence of reference point K, RSS K,N Indicates the Nth group of RSS samples for reference point K.

[0060] T...

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Abstract

The invention discloses a WLAN (Wireless Local Area Network) fingerprint positioning method based on RSS (Really Simple Syndication) linear correlation and a re-weighted centroid algorithm. The method comprises the following steps of firstly, establishing an offline fingerprint database, arranging Q reference points in a target positioning environment, collecting multiple groups of RSS samples at the reference points and carrying out filtering processing, and generating a fingerprint database for describing the reference points; and then positioning at the environment, computing linear correlation coefficients of real-time RSS data received by a user terminal and fingerprint database sample data, selecting the reference points corresponding to k maximum correlation coefficients and adopting the re-weighted centroid algorithm to estimate a final position of a user. According to the method, the influence of the terminal hardware difference on the indoor positional accuracy can be reduced, and the stability and the accuracy of an indoor positioning system are effectively improved.

Description

technical field [0001] The invention relates to the technical field of indoor positioning, in particular to a WLAN fingerprint positioning method based on RSS linear correlation and quadratic weighted centroid algorithm. Background technique [0002] With the widespread popularity of wireless networks and the rapid development of mobile smart terminals, location-based services have received more and more attention, and have been widely used in emergency rescue, medical care, social networking, navigation and monitoring and other fields. Huge market prospect. Due to the high coverage of WLAN hotspot services, people's demand for wireless services to keep connected anytime and anywhere is increasing day by day. This has led many research institutions and companies at home and abroad to carry out research work on WLAN location fingerprint indoor positioning technology, and related applications have just begun. At the beginning, for example, companies such as Google, Nokia, and...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04W64/00G01S11/06G01S5/02
CPCG01S5/0284G01S11/06H04W64/006
Inventor 徐小良高健
Owner HANGZHOU DIANZI UNIV
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