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Indoor wireless positioning fingerprint generating method based on artificial neural networks

A neural network and indoor wireless technology is applied in the field of indoor wireless positioning fingerprint generation based on artificial neural network, which can solve the problems of increased engineering volume and complexity.

Active Publication Date: 2014-09-24
志勤高科(北京)技术有限公司
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Problems solved by technology

But once the survey points increase, the engineering volume and complexity will increase accordingly
[0005] It can be seen that both the method based on the signal propagation model and the fingerprint site survey method have certain shortcomings in actual use.

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  • Indoor wireless positioning fingerprint generating method based on artificial neural networks
  • Indoor wireless positioning fingerprint generating method based on artificial neural networks
  • Indoor wireless positioning fingerprint generating method based on artificial neural networks

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Embodiment Construction

[0034] Embodiments of the invention are described in detail below, examples of which are illustrated in the accompanying drawings. The embodiments described below by referring to the figures are exemplary only for explaining the present invention and should not be construed as limiting the present invention.

[0035] The specific implementation of the present invention includes constructing RBF network and generating fingerprint data. The process of constructing the RBF network from the survey data is usually called the training process or the learning process, that is, to determine all the parameters of the RBF network (C m , σ m , W m )the process of.

[0036] The specific implementation steps are as follows.

[0037] Step 1: Site Survey

[0038] In the positioning area refers to selecting several survey points to collect data according to the indoor topology and layout. The collected data includes: survey point coordinates (x, y), and wireless signal strength data at ...

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Abstract

The invention provides an indoor wireless positioning fingerprint generating method based on artificial neural networks and belongs to the technical field of wireless communication. The invention particularly relates to an indoor wireless positioning fingerprint generating method based on artificial neural networks. The method uses data collected at a plurality of survey points selected in a positioning area to generate a radial basis function (RBF) network to achieve mapping of target point coordinates in the positioning area to the received signal strength indicator (RSSI) of an access point (AP), and fingerprint data are calculated on the basis of the mapping. Without many survey data, the method uses the RBF network to generate other fingerprint data to improve the forming efficiency of a fingerprint database.

Description

technical field [0001] The invention belongs to the technical field of wireless communication, and in particular relates to an indoor wireless positioning fingerprint generation method based on an artificial neuron network. Background technique [0002] The indoor positioning technology based on WIFI largely depends on the establishment of its fingerprint database. At present, the establishment of fingerprint database mainly includes two types based on signal propagation model and field survey, among which: [0003] (1) Based on the signal propagation model method, using the statistical model and corresponding parameters obtained by signal propagation in the air, for each coordinate in the positioning area, calculate the signal strength from an Access Point (AP) to the coordinate Indicates (Received Signal Strength Indicator, RSSI) value. However, due to the presence of various indoor factors that affect signal propagation (such as walls of various thicknesses, walls with ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04W64/00
Inventor 卫民孙燕军
Owner 志勤高科(北京)技术有限公司
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