Indoor positioning method based on signal synthesis and artificial neural network

An artificial neural network and signal synthesis technology, applied in the field of artificial neural network, indoor positioning, Wi-Fi, can solve the problem of large positioning error and inaccuracy, to improve the accuracy and accuracy, accurate positioning, easy to accept and use Effect

Active Publication Date: 2016-08-17
HOHAI UNIV CHANGZHOU
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AI Technical Summary

Problems solved by technology

However, the currently used indoor positioning method does not give full play to the function of wireless positioning, resulting in large positioning errors and inaccurate defects

Method used

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  • Indoor positioning method based on signal synthesis and artificial neural network
  • Indoor positioning method based on signal synthesis and artificial neural network
  • Indoor positioning method based on signal synthesis and artificial neural network

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Embodiment Construction

[0036] In order to make the technical means, creative features, goals and effects achieved by the present invention easy to understand, the present invention will be further described below in conjunction with specific embodiments.

[0037] as attached figure 1 As shown, the present invention is composed of two stages of offline training and online positioning. In the offline training phase, first arrange M Wi-Fi hotspots in the indoor environment, select N reference points, determine the origin and establish a coordinate system; then at each reference point position, use the signal collector to collect the signal strength RSS value, through the synthesis The signal algorithm obtains a synthetic signal vector; finally, the synthetic signal vectors of N reference points and their corresponding coordinates form a neural network training sample set, which is input into the neural network for training until a satisfactory condition is reached. In the online positioning stage, the...

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Abstract

The invention provides an indoor positioning method based on signal synthesis and an artificial neural network. The method comprises the steps of (1) setting of a Wi-Fi hotspot; (2) selection of a reference point; (3) signal synthesis; (4) training of the artificial neural network; and (5) online positioning, specifically including acquiring the signal strength RSS value of a point to be measured, obtaining the composite signal vector of the point to be measured by the signal synthesis algorithm, inputting into the well trained artificial neural network, acquiring the position coordinate of the point to be measured, and thus achieving the positioning function. The method provided by the invention can achieve indoor positioning by using the Wi-Fi signal strength, and has the advantages of being accurate in positioning, good in adaptability and convenient to use, and can fully utilize the Wi-Fi hotspot of the indoor environment without the need of additional hardware investment; compared with the existing GPS navigation system, the method can break the limit of indoor applications, and is better in practicability.

Description

technical field [0001] The invention belongs to the technical fields of Wi-Fi, artificial neural network and indoor positioning, and relates to the application of Wi-Fi signal detection and neural network, in particular to an indoor positioning method based on signal synthesis and artificial neural network. Background technique [0002] In recent years, Wi-Fi technology has developed rapidly due to its advantages of large coverage, no need for wiring, fast transmission speed, and low transmission power. Laptops, Pads, smart phones, etc. are popularized rapidly, and most of them support Wi-Fi technology; at the same time, Wi-Fi networks in large indoor places are gradually being deployed; using Wi-Fi signal collection and artificial neural network technology can make up for the lack of GPS application range. At the same time, improve positioning accuracy, increase efficiency, make full use of smart terminals, convenient and fast, easy to popularize, and low cost. However, th...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04W4/04G01S5/02
CPCG01S5/0252H04W4/04
Inventor 倪建军吴榴迎罗成名朱金秀陈鹏范新南
Owner HOHAI UNIV CHANGZHOU
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