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A 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, crowdsourcing sample labeling errors, large positioning errors, etc., to improve regional positioning accuracy, reduce positioning errors, The effect of improving positioning accuracy

Active Publication Date: 2022-01-11
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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  • A multi-level indoor positioning method and system based on crowdsourcing sample surface fitting
  • A multi-level indoor positioning method and system based on crowdsourcing sample surface fitting
  • A 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 more clear, 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 on...

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Abstract

The invention discloses a multi-level indoor positioning method and system based on crowdsourcing sample surface fitting, belonging to the technical field of communication and wireless network, including: setting N signal sources and dividing the target area into P sub-areas; The sub-area where the packet sample belongs to, use the crowdsourcing samples in the sub-area to perform surface fitting on each signal source; scan the signal strength of N signal sources at the point loc to be located, based on the sub-area A to which each signal source belongs to loc target The inner signal surface is positioned to get the initial position z 0 ; with z 0 as the center of the circle, with r 1 ~ r n is the radius, get n circular areas R 1 ~R n ; for each circular region R i , using which belongs to A target The samples of each signal source are surface-fitted, positioned based on the fitting results, and combined with z 0 Get the hierarchical positioning result z i ; Synthesize the hierarchical positioning results and determine the corresponding weights, and obtain the positioning results by weighted average. The invention can effectively improve the regional positioning accuracy under different distribution conditions of crowdsourcing samples.

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 Patents(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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