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

Intelligent instruction-preventing microwave radar wireless sensor network

A wireless sensor and microwave radar technology, applied in radio wave measurement systems, radio wave reflection/reradiation, instruments, etc., can solve problems such as limited communication capabilities, limited computing capabilities, and limited storage capacity, and achieve efficient The best performance, the effect of distinguishing the attributes of the observed target and the accurate movement

Inactive Publication Date: 2008-10-08
JIAXING WIRELESS SENSOR NETWORKS CENT CAS
View PDF0 Cites 16 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The present invention aims at the problems of nodes requiring low cost, limited communication capability, limited computing capability and limited storage capacity in the application of multi-node radar sensor network. In order to obtain the maximum amount of information with minimum resource consumption, the present invention provides a An anti-intrusion intelligent microwave radar wireless sensor network

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
  • Intelligent instruction-preventing microwave radar wireless sensor network
  • Intelligent instruction-preventing microwave radar wireless sensor network
  • Intelligent instruction-preventing microwave radar wireless sensor network

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0019] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0020] As shown in the figure, the present invention establishes a regional autonomous network based on Doppler active microwave radar sensors. exist figure 2 The microwave radar sensor nodes in the dotted circle area shown constitute the local area network LAN1. They monitor the effective area determined by the nodes in LAN1. Generally, the coverage area of ​​four nodes is 2.34 times of that of a single node. The sensor nodes in each group of LAN are only responsible for the central node where they are located, and transmit the collected information to LCN (Local center node). LCNs are a series of DSP (such as ADSPADSP-21xx) processors with strong floating-point budget capabilities, which can perform ICA analysis and bispectral feature extraction on data that has been simply preprocessed by the node. Neural network classification requires complex ...

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 an intelligent anti-invasion microwave radar wireless sensor network, comprising an area autonomous network based on a Doppler microwave sensor. The invention applies independent element analysis arithmetic to complete multi-target separation via internal interactive information among the Doppler microwave sensor nodes in the same defence area network, and at least uses small wave neural network characteristic to judge the number and type of invasive bodies according to the separated signal. The invention sufficiently utilizes the information of the local defence area network held by the nodes to obtain the number of invasive bodies, which largely improves signal-noise ratio to realize intelligentization of the whole network and to fully reduce rates of false alarms and missed alarms.

Description

technical field [0001] The invention belongs to the related fields of distributed network computing, intelligent information processing, collaborative information processing, etc., and relates to a microwave radar wireless sensor network. . Background technique [0002] A wireless sensor network is a network composed of large-scale randomly arranged sensor nodes, etc., which aims to perceive the real physical space. Due to the uncertainty and dynamic characteristics of physical space signals and their states, how to cooperate with multiple sensor nodes and obtain correct information about the physical world from the uncertain, incomplete, partially incomplete or even wrong signals collected by them Information is an important subject of intelligent information processing. On the other hand, the wireless sensor network itself is also facing major challenges. The availability of network nodes in wireless sensor networks, the communication distance of nodes, the computing pow...

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): H04L12/28H04L29/08G01S13/02G01S7/02
Inventor 杨栋刘海涛赵俊钰何为余志军魏建明王营冠张帅
Owner JIAXING WIRELESS SENSOR NETWORKS CENT CAS
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