Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

RSS (received signal strength) fingerprint database based secondary fuzzy clustering indoor-positioning method

An indoor positioning and secondary fuzzy technology, applied in the field of fuzzy recognition, can solve problems such as unstable accuracy, and achieve the effect of reducing complexity and cost of the positioning system

Inactive Publication Date: 2012-10-03
UNIV OF ELECTRONICS SCI & TECH OF CHINA
View PDF4 Cites 36 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The traditional traditional RSS indoor positioning method generally uses the distance-loss model, and the accuracy is very unstable in indoor environments where multipath propagation effects and signal attenuation rules are extremely complex.

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • RSS (received signal strength) fingerprint database based secondary fuzzy clustering indoor-positioning method
  • RSS (received signal strength) fingerprint database based secondary fuzzy clustering indoor-positioning method
  • RSS (received signal strength) fingerprint database based secondary fuzzy clustering indoor-positioning method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0019] The specific embodiments of the present invention will be further described below in conjunction with the accompanying drawings and specific examples. The experimental process of the present invention adopts the radio frequency chip CC2431 of TI Company as the node platform, and the internal positioning engine of this chip, the experimental results of the present invention will be compared with the self-positioning data of this chip, but ordinary computing personnel in the field should be aware of It should be noted that the selection of a specific radio frequency chip here does not mean that the method of the present invention can only be applied to this chip, and the method of the present invention can exist independently from a specific type of chip.

[0020] The secondary fuzzy clustering indoor positioning method based on the RSS fingerprint database (hereinafter referred to as the method of the present invention) is mainly divided into the RSS fingerprint database ...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention relates to an RSS (received signal strength) fingerprint database based secondary fuzzy clustering indoor-positioning method which includes the following steps of firstly, setting a position of an indoor signal coordinate node and forming an indoor positioning system; secondly, selecting a position of a reference point, measuring an RSS vector accepted by the reference point, and setting up an RSS fingerprint database; thirdly, clustering primarily to obtain a point same with a point to be positioned; fourthly, obtaining a reference point half similar to the point to be positioned, and obtaining an overall nearest point; fifthly, clustering secondarily to obtain a point same with the overall nearest point; and sixthly, weighting all points according to similarity, and computing coordinates of the point to be positioned. The RSS fingerprint database based secondary fuzzy clustering indoor-positioning method has the advantages that impact on positioning accuracy from multiple paths and non-line-of-sight and the like can be avoided effectively, no extra facility support is required and positioning algorithm complexity and cost of a positioning system are reduced.

Description

technical field [0001] The invention is an indoor positioning method in the field of fuzzy recognition, and in particular relates to a secondary fuzzy clustering indoor positioning method based on an RSS (Received Signal Strength) database. Background technique [0002] Positioning technology is one of the most important information technologies today, ranging from the national defense and military related to national security to the daily life of ordinary people, all need a lot of location information assistance. Traditional positioning technologies are some large-scale positioning systems, which are generally used in outdoor environments, such as the GPS in the United States and the Beidou satellite navigation system in China. However, for many indoor environments with complex structures, these positioning system signals are blocked by obstacles such as walls, and cannot provide indoor positioning. Therefore, indoor positioning technology is a good complement to the shortc...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Applications(China)
IPC IPC(8): H04W64/00
Inventor 徐展唐道平刘丹薛世帅
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com