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Indoor positioning method and system based on propagation loss learning

An indoor positioning and transmission loss technology, applied in positioning, radio wave measurement system, nan and other directions, can solve the problem of limited positioning accuracy and achieve the effect of high positioning accuracy

Active Publication Date: 2017-05-03
北斗导航位置服务(北京)有限公司
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Problems solved by technology

[0003] In order to overcome the defects of limited positioning accuracy of existing indoor positioning methods, the present invention provides a positioning method and system that can effectively improve indoor positioning accuracy

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  • Indoor positioning method and system based on propagation loss learning
  • Indoor positioning method and system based on propagation loss learning
  • Indoor positioning method and system based on propagation loss learning

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Embodiment Construction

[0056] The present invention will be further described below in conjunction with the accompanying drawings.

[0057] The indoor positioning method of the present invention is used to realize the positioning of the mobile terminal, and the method is realized based on signal propagation loss learning, refer to figure 1 , which includes the following steps:

[0058] Step 1), the mobile terminal scans all wifi signals in the room in real time, and establishes a logarithmic "distance-loss" model according to the scanning results. This step further includes:

[0059] Step 1-1), the mobile terminal scans all surrounding wifi signals at time t, and records the strength information of each wifi;

[0060] In this step, the mobile terminal can scan all the wifi signals around it according to a fixed frequency. The indoor location coordinates of the mobile terminal are assumed to be (x, y, 0).

[0061] Step 1-2), upload and store the strength information of the wifi signal recorded by...

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Abstract

The invention discloses an indoor positioning method based on propagation loss learning. The method comprises steps: a mobile terminal scans all indoor wifi signals in real time, and a logarithmic distance-loss model is built according to the real-time scanning result; historical data are used for learning the distance-loss model, and a machine learning model is built; a training sample set is generated based on the historical data, the built machine learning model is trained, and an SVM regression prediction function for generating a wifi signal transmission attenuation prediction value is obtained; and based on the real-time scanning result of the mobile terminal and in combination with an SVM regression prediction equation and the logarithmic distance-loss model, the accurate position coordinates of the mobile terminal are calculated.

Description

technical field [0001] The invention belongs to the fields of information technology, automatic control and electronic technology, and specifically relates to a method for learning transmission loss characteristics of wifi signals by adopting a support vector machine method, and at the same time realizing online position estimation by using the learning results. Background technique [0002] With the continuous development of location data services, indoor positioning has been widely used in airports, shopping malls, parking lots, mines and other fields. However, due to the complexity of the indoor positioning environment, it is still difficult to meet the actual requirements in terms of positioning accuracy. On the one hand, due to different indoor environments, the overall structure, materials, and location of objects in the room will cause large loss and fluctuations in signal transmission. On the other hand, reflections and diffractions in the room will cause serious mul...

Claims

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Application Information

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IPC IPC(8): H04W4/04G01S5/02
Inventor 曹红杰郭路欧阳玲
Owner 北斗导航位置服务(北京)有限公司
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