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

Data fusion method for multi-sensor distributed system

A distributed system and multi-sensor technology, applied in the field of data fusion of distributed multi-sensor systems, can solve problems such as detection performance degradation

Inactive Publication Date: 2014-04-16
BEIJING YUANWEIDA TECH
View PDF0 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

For R-type statistics, the direct summation criterion is a commonly used data fusion method. This method performs well when the signal-to-noise ratio of each local sensor is very close, but when the local sensor signal-to-noise ratio varies greatly, the detection performance decreases.

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
  • Data fusion method for multi-sensor distributed system
  • Data fusion method for multi-sensor distributed system
  • Data fusion method for multi-sensor distributed system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0025] The technical solutions of the present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0026] figure 1 The parallel network shown consists of multiple local sensors and a fusion center. Multiple sensors are placed in the area of ​​interest to detect vehicles or pedestrians in the area. LP stands for local sensor. Each local observation is statistically independent. The local sensor processes its own observation x and sends the processing result u to the fusion center. The fusion center fuses these results to obtain a system judgment. Sensor detection is to detect useful signals in background clutter or noise. Considering the detection of targets in white Gaussian noise, each local sensor is a multi-pulse detection system, and each pulse data is independent and identically distributed.

[0027] Such as figure 2 As described in step 210, the local sensor sends a signal and stores the received pulse data. Let...

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 relates to a data fusion method for a multi-sensor distributed system. According to the condition that the change of signal to noise ratios of different sensors is great, the data fusion method utilizing the local statistic power for summation is provided. The data fusion method comprises the steps that each local sensor stores N received pulse data, calculates the local R statistic according to the received data and transmits the R statistic to an fusion center; the fusion center calculates global weighing summation statistic R by utilizing the statistic of each local sensor and carries out detection based on the global weighing summation statistic.

Description

technical field [0001] This paper involves the data fusion method of the distributed multi-sensor system, more specifically, the data processing and judgment method when the signal-to-noise ratio of each sensor varies greatly. Background technique [0002] In recent years, multi-sensor distributed systems have received extensive attention in detection. Compared with single-sensor systems, multi-sensor systems can achieve better performance and higher reliability. Distributed systems can increase system computing capacity and have lower requirements on channel capacity, and are widely used. [0003] Distributed sensor network is a wired or wireless network composed of a group of sensors, which can cooperatively collect and process the information of perceived objects in the geographical area covered by the network. For example, the sensor network can locate and detect vehicles, pedestrians, etc. in the area of ​​interest, so as to perform dynamic planning. A distributed de...

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): H04W24/00H04W84/18
Inventor 严军
Owner BEIJING YUANWEIDA TECH
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