Deep learning identity recognition system and method based on channel state information of wireless network

A technology of channel state information and deep learning, which is applied to the deep learning identification system and field based on wireless network channel state information, and can solve the problem of insufficient mining of physical layer characteristics

Active Publication Date: 2018-11-27
DALIAN UNIV OF TECH
View PDF6 Cites 25 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the current use of WiFi signals is limited to high-speed data transmission, and the mining of its physical layer characteristics is far from enough

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
  • Deep learning identity recognition system and method based on channel state information of wireless network
  • Deep learning identity recognition system and method based on channel state information of wireless network
  • Deep learning identity recognition system and method based on channel state information of wireless network

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0018] The technical solutions of the present invention will be further described below in conjunction with specific embodiments and accompanying drawings.

[0019] A deep learning identification system based on wireless network channel state information, including a wireless signal transmitter, a wireless signal receiver, a control terminal and a cloud server;

[0020] Both the wireless signal receiver and the wireless signal transmitter are equipped with wireless network cards, and the two are placed in the room apart; the wireless signal transmitter is used to send wireless signals with CSI information, and the wireless signal receiver is used to obtain wireless network information in the environment. Channel status information and upload to the cloud server;

[0021] The cloud server includes a data collection module, a CSI pool, a data preprocessing module and an identification / authentication module; the data collection module uses a router and a PC equipped with a networ...

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, which belongs to the technical field of identification, relates to a deep learning identity recognition system and method based on channel state information of a wireless network. The deep learning identity recognition system is composed of a wireless signal transmitter, a wireless signal receiver, a control terminal and a cloud server. The wireless signal receiver and the wirelesssignal transmitter are equipped with wireless network cards and are arranged in a room at an interval. The wireless signal transmitter is used for sending a wireless signal with CSI information; the wireless signal receiver is used for acquiring wireless network channel state information in an environment and uploading the information to the cloud server. According to the system provided by the invention, the blank of passive identity identification application is filled; and an application example is built for deep-learning-based passive recognition and positioning. The system can be appliedto fields of personnel attendance, smart home intrusion detection, patient monitoring and the like widely.

Description

technical field [0001] The invention belongs to the technical field of identification, and relates to a deep learning identification system and method based on wireless network channel state information. This system is a sampling identification of a CSI (Channel State Information) signal using a common WiFi signal. Cooperate with the unique deep machine learning algorithm to carry out model recognition training on the CSI signal of WiFi, thus realizing the recognition system of human body identification. Background technique [0002] In application scenarios such as health monitoring, security detection, and smart home, identification plays a very important role. Existing active identity recognition systems generally use technologies such as fingerprint recognition and iris recognition. Although they can realize recognition and authentication functions, the user under test needs to make specified actions, and there are problems such as expensive equipment and limited recogni...

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): H04W12/06H04W12/12H04W24/08H04L29/08H04W4/80H04W12/69
CPCH04L67/10H04W12/06H04W12/12H04W24/08H04W4/80
Inventor 林驰胡佳椰刘振辉王慨楚子豪王慷张宇晨吴国伟
Owner DALIAN UNIV OF 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

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