A Multi-feature Fuzzy Mapping Access Point Optimization Method Based on Information Gain Ratio

A technology of information gain ratio and optimization method, which is applied in the direction of location information-based services, specific environment-based services, and utilization of re-radiation, etc., can solve the problem of low positioning efficiency, only consider a single signal feature, and cannot meet the requirements of indoor positioning development etc. to achieve the effect of reducing computing overhead and improving positioning effectiveness

Active Publication Date: 2022-05-03
CHONGQING UNIV OF POSTS & TELECOMM
View PDF9 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] However, with the in-depth research of researchers in the field of indoor positioning and the increasing demand for indoor positioning services in real life, many existing indoor positioning algorithms have been exhausted due to the consideration of only a single signal feature and low positioning efficiency. Can not meet the requirements of indoor positioning development

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
  • A Multi-feature Fuzzy Mapping Access Point Optimization Method Based on Information Gain Ratio
  • A Multi-feature Fuzzy Mapping Access Point Optimization Method Based on Information Gain Ratio
  • A Multi-feature Fuzzy Mapping Access Point Optimization Method Based on Information Gain Ratio

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0061] specific implementation plan

[0062] The present invention will be further described below in conjunction with accompanying drawing:

[0063] Such as figure 1 A multi-feature fuzzy mapping access point optimization method based on information gain ratio is shown, which specifically includes the following steps:

[0064] Step 1, in the offline phase, deploy n (n is an integer) APs with known positions in the target environment and calibrate m (m is an integer) RPs.

[0065] Step 2: Collect RSS from different APs at each RP, and build an offline RSS feature matrix Z off ; Concretely include the following steps:

[0066] Step 2 (1), in the offline phase, for n APs transmitting signals, extract the received signal strength sequence RSS={rss at the RPs 1 ,rss 2 ,...,rss m}, where rss j Indicates the RSS from the APs in the target environment collected at the jth (j=1,2,...,m) RP; where, rss j ={rss 1j ,rss 2j ,...,rss nj}, rss ij Indicates the RSS from the i-th ...

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 discloses a multi-feature fuzzy mapping access point optimization method based on information gain ratio. First, use the offline Received Signal Strength (RSS) feature to construct the information gain ratio set of the access point (AP) and the fuzzy relational matrix of the offline RSS feature; secondly, use the fuzzy relational equation about the offline RSS feature Obtain the fuzzy weight of the offline RSS feature; again, by collecting the RSS from different APs at the point to be located (that is, the test point), construct the fuzzy decision matrix of the online RSS feature and the fuzzy membership degree set of the online stage AP; finally, will have An AP with a larger fuzzy membership is defined as an AP with a stronger position resolution, and it is used as an optimal AP for localization. Experimental results show that the method of the present invention has relatively low calculation overhead while having high positioning accuracy.

Description

technical field [0001] The invention belongs to indoor positioning technology, and in particular relates to an access point optimization method for multi-feature fuzzy mapping based on information gain ratio. Background technique [0002] With the vigorous development of the Internet, Location-based Services (LBS) is playing an increasingly important role in people's lives, such as shopping mall advertising guidance, monitoring management, disaster rescue and other scenarios for navigation and positioning services. There is an urgent need. However, in a complex indoor environment, there are usually many building occluders and irregular movement of people, which leads to serious fluctuations, reflections, diffractions, and other phenomena in the signal propagation, which leads to the positioning technology in indoor scenes. performance still needs to be improved. At present, the indoor positioning systems extensively researched by relevant enterprises and universities are m...

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 Patents(China)
IPC IPC(8): H04W4/02H04W4/021H04W4/33G01S11/06
CPCH04W4/021H04W4/023H04W4/33G01S11/06
Inventor 周牧李欣玥杨小龙王勇何维
Owner CHONGQING UNIV OF POSTS & TELECOMM
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products