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

DS-based data association method for multi-target tracking of wireless sensor network

A wireless sensor, multi-target tracking technology, applied in the field of wireless sensor network multi-target tracking data association, can solve problems such as methods of data association without evidence theory

Inactive Publication Date: 2012-07-18
INST OF COMPUTING TECH CHINESE ACAD OF SCI
View PDF1 Cites 9 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The English patent "Method for distributed data association and multi-target tracking-communicating track information among processing entities which process inputs from single sensor with continuing updating" mentions that data association can be based on evidence theory, but does not give specific evidence for use theoretical approach to data association

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
  • DS-based data association method for multi-target tracking of wireless sensor network
  • DS-based data association method for multi-target tracking of wireless sensor network
  • DS-based data association method for multi-target tracking of wireless sensor network

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0100] The present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments, but not as a limitation of the present invention.

[0101] The present invention combines prediction information and constructs a simple and easy-to-implement basic trust function assignment model on a wireless sensor network node (hereinafter referred to as a sensor node) for uncertain information to realize the representation of uncertain information; combination rules based on evidence theory Different evidences get comprehensive information and realize data association. Such as figure 1 As shown, a flow chart of a method for associating multi-target tracking data in a wireless sensor network is described, and the method includes:

[0102] Step 1, use the information sent by the previous wireless sensor network node to obtain the prediction information about the target, and build a basic trust function assignment model for the uncertain inf...

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 DS-based data (Dempster-Shafer) association method for multi-target tracking of a wireless sensor network. The method comprises the following steps that: step1, acquiring the prediction information about a target by using the information sent from a prior wireless sensor network node, and establishing a basic belief function assignment model for the uncertain information observed by a current wireless sensor network node; and step 2, combining different evidences based on the combination rules of the DS theory according to the basic belief function assignment model to obtain the summarized information, and associating the data according to the summarized information. According to the DS-based data association method, the basic belief function assignment model which can be simply implemented on the node is established in combination with the prediction information for the uncertain information, and the uncertain information observed by the node can be expressed; and the different evidences are combined based on the combination rules of the DS theory to obtain the summarized information, so that the data are associated. Due to the information complementation, the final data association effect is very good and the association accuracy is high.

Description

technical field [0001] The invention belongs to the technical field of intelligent information processing, in particular to a wireless sensor network multi-target tracking data association method based on DS (Dempster-Shafer) evidence reasoning. Background technique [0002] With the advancement of sensor technology, micro-electromechanical technology, modern network and wireless communication technology, a wireless sensor network (Wireless Sensor Network, WSN) involving multi-disciplinary and highly integrated knowledge has emerged. Its advantages are: low cost, easy deployment Convenient, fast and flexible networking, not restricted by wired networks, has been widely used in military defense, industrial and agricultural control, environmental detection, remote control in dangerous areas and other fields. Due to its self-organization, robustness and huge number of nodes, wireless sensor network is very suitable for target tracking. At present, the target tracking research ...

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): G06F19/00H04L29/08H04W84/18
Inventor 孙荣丽王睿张磊崔莉
Owner INST OF COMPUTING TECH CHINESE ACAD OF SCI
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