Indoor WLAN positioning method based on rough-fine two-step correlation image feature extraction

A technology of image feature extraction and positioning method, which is applied in the direction of electrical components, wireless communication, etc., and can solve the problems of large manpower and time overhead

Active Publication Date: 2017-02-15
CHONGQING UNIV OF POSTS & TELECOMM
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Problems solved by technology

[0005] The purpose of the present invention is to provide an indoor WLAN positioning method based on coarse and fine two-step correlation image feature extraction, which does not need to collect location fingerprints in the offline stage, and has high positioning accuracy, and can solve the problem of offline positioning in traditional location fingerprint positioning algorithms. stage requires a lot of manpower and time overhead

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  • Indoor WLAN positioning method based on rough-fine two-step correlation image feature extraction
  • Indoor WLAN positioning method based on rough-fine two-step correlation image feature extraction
  • Indoor WLAN positioning method based on rough-fine two-step correlation image feature extraction

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Embodiment Construction

[0081] The present invention will be further described below in conjunction with accompanying drawing.

[0082] Such as Figure 1a to Figure 1b The shown indoor WLAN positioning method based on rough and fine two-step correlation image feature extraction includes the following steps:

[0083] Step 1. Randomly collect N in the positioning target area seq RSS sequence, denoted as rss ij =(rss ij1 ,rss ij2 ,...,rss ijk )(1≤j≤M i ), where M i is the sequence length of the i-th RSS sequence, that is, the number of RSS vectors contained in the i-th RSS sequence, k is the number of APs, and rss ijl (1≤l≤k) is the signal strength value from the l-th AP in the j-th RSS vector in the i-th RSS sequence;

[0084] Step 2. In each RSS sequence, sort the different RSS vectors in ascending order using the time stamp order, wherein the j-th RSS vector in the i-th RSS sequence is reconstructed into a new k+1-dimensional vector

[0085] Step 3. In each new k+1-dimensional vector, we...

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Abstract

The invention disclose an indoor WLAN positioning method based on rough-fine two-step correlation image feature extraction. The method includes performing spectral clustering on received signal strength RSS sequences randomly acquired in the positioning target area to obtain class transfer graphs; performing rough positioning on the correlation position between the RSS sequences by means of an image edge detection method, performing fine positioning on the correlation position by means of a correlation sequencing method, and splicing the different class transfer graphs into a signal logic graph which describes the physical structure of the target area in the signal space; through the division of the positioning target area physical structure, obtaining the physical environment map which reflects the topological structure of the positioning target area; and obtaining the mapping criteria of the physical environment map by means of the corresponding signal logic graph and positioning the target in the online phase based on the RSS data acquired in real time. The indoor WLAN positioning method solves the problem that a conventional position fingerprint positioning algorithm needs a large amount of manpower and time in the offline phase.

Description

technical field [0001] The invention belongs to indoor positioning technology, and in particular relates to an indoor WLAN positioning method based on rough and fine double-step correlation image feature extraction. Background technique [0002] With the rapid development of mobile communications, location-based services (LBS) have received more and more attention. In indoor places, such as shopping malls, airports and parking garages, existing outdoor positioning systems, such as GPS ( GlobalPositioning System) positioning system, due to the shelter of buildings and other facilities, it is difficult to achieve accurate positioning indoors. At the same time, due to the large-scale deployment of WLAN and the widespread popularity of WLAN access, more and more people pay attention to using the existing WLAN infrastructure to locate indoor users. Among them, indoor WLAN positioning based on received signal strength (RSS) Technology is also subject to in-depth research. [000...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04W64/00
CPCH04W64/006
Inventor 周牧王烟濛田增山张巧吕洁唐云霞余斌何维
Owner CHONGQING UNIV OF POSTS & TELECOMM
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