A construction and update method of fingerprint database in wifi indoor positioning
An indoor positioning and fingerprint database technology, which is applied to location information-based services, specific environment-based services, electrical components, etc., can solve the problems of high sampling cost, manual periodic repeated sampling, and the need for regular repeated sampling, etc., to achieve high positioning The effect of precision
Active Publication Date: 2018-04-03
BEIHANG UNIV
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Problems solved by technology
The purpose of the present invention is to provide a method for constructing and updating a fingerprint library in WiFi indoor positioning, so as to solve the problems of high sampling cost and manual periodic repeated sampling in the existing WiFi indoor positioning system
In order to optimize the currently widely used WiFi fingerprint indoor positioning system and solve the problem of high sampling cost and the need for periodic repeated sampling, the present invention proposes a regression method using signal strength and location information reported by anchor nodes and geographical weights in the offline construction phase Construct the fingerprint library, and adopt the regression method of adaptive update in the online operation stage of the positioning system
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The invention relates to a WiFi indoor positioning fingerprint database construction and update method, comprising seven steps. Concretely, the invention provides a regression method in which the construction of a fingerprint database is performed by utilizing anchor node position signal intensity and a geographical weighted regression method in a WiFi indoor positioning system offline construction period, and the positioning system employs an adaptive update method in an online operation period. The method can substantially reduce construction cost of a WiFi indoor positioning system fingerprint database, and adaptively update a fingerprint database when factors such as environment and time are changed.
Description
A method for constructing and updating fingerprint library in WiFi indoor positioning technical field The invention relates to a method for constructing and updating a fingerprint library in WiFi indoor positioning, specifically a method for constructing a fingerprint library by using the signal strength of the anchor node position and the geographic weighted regression method in the offline construction stage of the WiFi indoor positioning system. The self-adaptive regression update method is adopted in the online operation phase of the system. This method can greatly reduce the cost of constructing the fingerprint library of the WiFi indoor positioning system, and realizes the adaptive update of the fingerprint library to ensure the accuracy of the positioning system when factors such as environment and time change. The invention belongs to the technical field of WiFi indoor positioning. Background technique With the development of human society, people's demand for the...
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IPC IPC(8): H04W4/021H04W4/33H04W64/00
CPCH04W64/006H04W24/10
Inventor 杨东凯杜元锋修春娣刘源罗智勇
Owner BEIHANG UNIV



