A method for probability type fingerprint matching in WiFi (Wireless Fidelity) indoor positioning

An indoor positioning and matching method technology, applied in wireless communication services, electrical components, wireless communication, etc., can solve the problems that the measurement signal cannot penetrate, and the positioning service cannot be effectively performed.

Active Publication Date: 2015-04-08
BEIHANG UNIV
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AI Technical Summary

Problems solved by technology

[0002] With the development of modern positioning and navigation technology, various location-based services have increasingly become an important part of smart life. Global Navigation Satellite System (GNSS) provides people with high-precision, all-weather positioning services. However, due to its measurement signal It cannot penetrate the characteristics of buildings, and it cannot effectively provide positioning services in high-density building complex areas and indoors. Therefore, in order to obtain effective positioning services indoors, indoor positioning systems have been developed rapidly.

Method used

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  • A method for probability type fingerprint matching in WiFi (Wireless Fidelity) indoor positioning
  • A method for probability type fingerprint matching in WiFi (Wireless Fidelity) indoor positioning
  • A method for probability type fingerprint matching in WiFi (Wireless Fidelity) indoor positioning

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Embodiment Construction

[0066] Attached below figure 1 , 2, 3, 4, taking a specific indoor test environment as an example to introduce in detail the probabilistic indoor positioning method based on perception probability and kernel density estimation proposed by the present invention.

[0067] see figure 1 , is a plan of a specific indoor test area. There are 5 access points AP in the test area, and the room area is divided into 1.1m*1.1m grid; the corridor area is divided into 1.2m*1.2m grid. The entire test area is divided into 195 grids, and the center of each grid is the position of the reference point RP.

[0068] see figure 2 , is a flow chart of the method of the present invention. Taking a specific indoor test environment as an example, a probabilistic fingerprint matching method in WiFi indoor positioning of the present invention, the steps are as follows:

[0069] Step 1: Collect training sample information for 195 RPs in the test area, and the number of samples for each reference poin...

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Abstract

The invention provides a method for probability type fingerprint matching in WiFi (Wireless Fidelity) indoor positioning. The method is a method for probability type indoor positioning based on perception probability and kernel density estimation, and comprises five steps. Particularly, the method is a method for introducing the technologies of perception probability and non-parameter kernel density estimation into maximum likelihood probability. The method for probability type fingerprint matching in WiFi (Wireless Fidelity) indoor positioning can characterize distribution features of complex radio frequency signals more accurately through the kernel density estimation method, thus reducing a positioning error and obtaining better positioning accuracy.

Description

technical field [0001] The present invention provides a probabilistic fingerprint matching method in WiFi indoor positioning, specifically a method that introduces perceptual probability and non-parameter kernel density estimation technology into maximum likelihood probability. The method can accurately characterize the distribution characteristics of complex radio frequency signals through a kernel density estimation method and obtain better positioning accuracy, and belongs to the technical fields of WiFi indoor positioning and wireless transmission and navigation. Background technique [0002] With the development of modern positioning and navigation technology, various location-based services have increasingly become an important part of smart life. Global Navigation Satellite System (GNSS) provides people with high-precision, all-weather positioning services. However, due to its measurement signal Due to the characteristics of not being able to penetrate buildings, posi...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04W4/04H04W64/00
Inventor 修春娣杨萌杨东凯刘源罗智勇
Owner BEIHANG UNIV
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