Multi-level indoor positioning method and system based on crowdsourcing sample surface fitting

A surface fitting and indoor positioning technology, applied in the field of multi-level indoor positioning methods and systems, can solve the problems of uneven distribution, large positioning error, crowdsourcing sample labeling error, etc., achieve simple Cook distance, reduce positioning cost, The effect of reducing variance

Active Publication Date: 2020-07-31
HUAZHONG UNIV OF SCI & TECH
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Problems solved by technology

[0005] Aiming at the defects and improvement needs of the prior art, the present invention provides a multi-level indoor positioning method based on surface fitting of crowdsourcing samples, the purpose of which is to solve the positioning errors caused by labeling errors and uneven distribution of crowdsourcing samples larger technical issues

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  • Multi-level indoor positioning method and system based on crowdsourcing sample surface fitting
  • Multi-level indoor positioning method and system based on crowdsourcing sample surface fitting
  • Multi-level indoor positioning method and system based on crowdsourcing sample surface fitting

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Embodiment Construction

[0052] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention. In addition, the technical features involved in the various embodiments of the present invention described below can be combined with each other as long as they do not constitute a conflict with each other.

[0053] In the present invention, the terms "first", "second" and the like (if any) in the present invention and drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence.

[0054] In order to solve the technical problem of large positioning errors caused by crowdsourcing samples due to labeling errors and uneven distribution, in one e...

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Abstract

The invention discloses a multi-level indoor positioning method and system based on crowdsourcing sample surface fitting, which belongs to the technical field of communication and wireless networks. The method comprises the steps of setting N signal sources, and dividing a target area into P sub-areas, determining a subarea to which each crowdsourcing sample belongs, and performing surface fittingon each signal source by utilizing the crowdsourcing samples in the subareas, scanning the signal intensity of N signal sources at a to-be-positioned point loc, and performing positioning based on the signal surface of each signal source in the subarea Atarget to which the loc belongs to obtain an initial position z0, taking z0 as the center of a circle and r1 to ri as the radius to obtain n circular areas R1 to Rn, for each circular area Ri, carrying out surface fitting on each signal source by utilizing samples belonging to Atarget, carrying out positioning based on a fitting result, and combining z0 to obtain a level positioning result zi, and synthesizing a level positioning result and determining a corresponding weight, and obtaining a positioning result through weighted average. Themethod can effectively improve the area positioning precision of crowdsourcing samples under different distribution conditions.

Description

technical field [0001] The invention belongs to the technical field of communication and wireless network, and more specifically, relates to a multi-level indoor positioning method and system based on crowdsourcing sample surface fitting. Background technique [0002] With the continuous development of smart applications, it is becoming more and more important to obtain accurate indoor location information. Whether it is the automatic handling of unmanned logistics warehouses, the precise push of preferential information for merchants in shopping malls, or the real-time monitoring of special groups such as patients, accurate indoor positioning information is inseparable. [0003] At present, there are many indoor positioning technologies. These positioning technologies are based on signals such as WiFi, Bluetooth, sound, and magnetic field, and use various machine learning methods to locate indoor targets to be tested. Among them, due to the widespread deployment of WiFi ac...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01S5/02
CPCG01S5/02
Inventor 王邦谭飞周婵欣李文松
Owner HUAZHONG UNIV OF SCI & TECH
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