Indoor positioning fingerprint grouping method based on signal statistics

An indoor positioning and grouping method technology, applied in wireless communication, electrical components, etc., can solve the problems of decreased positioning accuracy and not taking into account the difference in antenna gain, etc., and achieve the effects of variable positioning speed, reduced calculation burden, and reduced energy consumption

Inactive Publication Date: 2014-07-23
HUAZHONG UNIV OF SCI & TECH
View PDF4 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The above two methods do not take into account the fact that the antenna gain of the terminal is different in the training phase and the positioning phase, so the positioning accuracy is likely to decrease due to the different antenna gain

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
  • Indoor positioning fingerprint grouping method based on signal statistics
  • Indoor positioning fingerprint grouping method based on signal statistics
  • Indoor positioning fingerprint grouping method based on signal statistics

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0028] Such as figure 1 As shown, the indoor positioning fingerprint grouping method based on signal statistics of the present invention comprises the following steps:

[0029] (1) Select N reference points in the positioning scene. Try not to choose the reference point in a location where people rarely pass by, such as a corner or a position close to the wall. Define that there are m access points in the positioning scene;

[0030] (2) Take T signal strength samples at each reference test point, record the signal strength information of each sample, and record the t-th sampling information of the nth reference point as figure 2 Displays the signal strength information of T samples in the nth reference point. If a certain access point cannot be detected in a sampled signal of the reference point, -100dBm is used as the signal strength information of this access point in this signal strength information. signal strength;

[0031] (3) Divide the sampling information of acce...

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 provides an indoor positioning fingerprint grouping method based on signal statistics. The method includes selecting N reference points from a positioning scene and acquiring the number ( hereinafter referred to as m) of access points in the positioning scene; performing T signal intensity samplings in the reference points and recording signal intensity information of the access points in each sampling; dividing the signal intensity information of the access points which have same strongest signal intensities in the signal intensity information of the T samplings into a group and recording the number of the signal intensity information of each group; judging whether the number is larger than or equal to a frequency-time threshold value alpha or not, if so, averaging the signal intensity information of the group as a group of fingerprints of the nth reference point, setting m coarse groupings for the fingerprints, selecting the strongest access point in the fingerprints corresponding to the reference points in each coarse grouping, and finally differing the fingerprints. The indoor positioning fingerprint grouping method based on the signal statistics is simple in operation, and the number of fingerprints needed to be compared during positioning is effectively reduced, so that cost is lowered.

Description

technical field [0001] The invention relates to the technical field of communication and wireless network, in particular to an indoor positioning fingerprint grouping method based on signal statistics. Background technique [0002] Location-based service (Location-based service, LBS for short) is a very important application in mobile computing and wireless communication. LBS not only has great application value in business, but also is very important for public safety, transportation and emergency rescue. Well-known positioning systems include GPS in the United States, Beidou in China, Galileo in the European Union, and Glopas in Russia. These positioning systems are very good for outdoor positioning, but indoors these positioning systems lose their usefulness because the weak positioning signal cannot pass through walls. In this context, people have developed many indoor positioning systems, mainly based on infrared, ultrasonic and wireless local area network (WLAN). Si...

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): H04W64/00
Inventor 莫益军曹佐王邦刘晔
Owner HUAZHONG UNIV OF SCI & TECH
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