A fine-grained multi-target passive positioning method based on RFID

A positioning method and passive technology, applied in the field of wireless positioning, can solve problems such as unsatisfactory, unsatisfactory accuracy, and cheap equipment, and achieve the effects of reducing time complexity, good dynamic adaptability, and good dynamic changes

Active Publication Date: 2018-02-02
NORTHWEST UNIV
View PDF4 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Therefore, these methods can only point out the approximate location of the target, but cannot accurately calculate the target location, and cannot meet people's needs.
In addition, the existing positioning methods mainly use RSSI technology, but RSSI technology will be restrained by multipath due to the influence of antenna gain, so it can only achieve coarse-grained positioning
[0005] In summary, the existing passive positioning methods generally have the following defects: 1) multi-target positioning cannot be achieved in the monitoring area; 2) the equipment is not cheap; 3) the accuracy cannot meet people's needs

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 fine-grained multi-target passive positioning method based on RFID
  • A fine-grained multi-target passive positioning method based on RFID
  • A fine-grained multi-target passive positioning method based on RFID

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0151] Two common RFID systems were used to complete the test in the laboratory of Northwestern University's School of Information Science and Technology. Multiple tables, shelves, desktop computers, etc. were placed in the laboratory to form a complex indoor environment. In this experiment, there are a total of three different experiments to verify the effectiveness, robustness and advantages of the present invention compared with other methods. Each experiment has a different experimental scenario and is completed by 7 volunteers for a total duration of In 14 hours, 1,054,400 pieces of data were collected.

[0152] This embodiment adopts the first scene of Experiment I. In scene one, 25 RFID tags form a 5*5 tag matrix, and the interval between each pair of tags is 1.2m, thereby forming a monitoring area of ​​480cm*480cm. Two RFID readers and their corresponding antenna arrays are placed on adjacent sides of the monitoring area. In this scenario, there are a total of 4 volun...

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 fine-grained multi-target passive positioning method based on RFID. This method uses human interference to multi-path information as fingerprint information. However, in current multi-target positioning methods, multi-path is removed or multi-path information is ignored, so this method The invention can realize fine-grained position calculation, while other methods can only point out the approximate position of the target; it can accurately perform fine-grained multi-target positioning in the monitored area, filling the shortcomings of the multi-target positioning algorithm in terms of positioning accuracy and affecting the environment. It has good dynamic adaptability and low economic cost.

Description

technical field [0001] The invention belongs to the field of wireless positioning, and relates to a fine-grained multi-target positioning method, in particular to an RFID-based fine-grained multi-target passive positioning method. Background technique [0002] In many application scenarios today, such as anti-intrusion detection, shopping mall navigation, elderly fall detection, etc., obtaining the location information of the target is the most basic content, which has attracted a large number of scholars to carry out related research work in the past 20 years. Among them, passive (without carrying other devices) positioning methods have always played an important role in anti-intrusion applications, especially for multi-target positioning methods. [0003] Existing passive positioning methods use sensor nodes, infrared devices, advanced cameras, and even specialized equipment, which are expensive and difficult to meet the needs of large-scale deployment. At present, RFID p...

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): G01S5/02
CPCG01S5/0215G01S5/0252
Inventor 谢彬彬张立超李荔垚陈晓江房鼎益邢天璋汤战勇王安文王薇刘晨
Owner NORTHWEST UNIV
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

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap