Subscribe Now Subscribe Today
Science Alert
 
Blue
   
Curve Top
Information Technology Journal
  Year: 2011 | Volume: 10 | Issue: 1 | Page No.: 189-194
DOI: 10.3923/itj.2011.189.194
 
Facebook Twitter Digg Reddit Linkedin StumbleUpon E-mail

A New Model for Information Fusion based on Grey Theory

Guangzheng Li and Tao Wang

Abstract:
Grey theory is one of the research methods of uncertainty, which is superior in the mathematical analysis of systems with uncertain information. This study develops a data processing method with grey theory toward data fusion for ship navigation and collision avoidance system. In view of the information complementarities between Automatic Radar Plotting Aid (ARPA) radar and Automatic Identification System (AIS), we fuse AIS information with ARPA radar and present an information fusion framework based on gray theory to provide more accurate and reliable data for ship navigation and collision avoidance system. Owning to the lack of track association based on fuzzy mathematics and statistics, we propose a novel track association algorithm based on grey theory. The simulation results demonstrate that the identification accuracy is 98-99% in the circumstance of about 40 target ships. It has a high matching rate of track association.
PDF Fulltext XML References Citation Report Citation
 RELATED ARTICLES:
  •    Time Series Grey System Prediction-based Models: Gold Price Forecasting
  •    Long-term Load Forecasting in Power System: Grey System Prediction-based Models
  •    The Algorithm Aiming at Conflict to Improve DS Evidence Theory
  •    A Biased Rule for Data Fusion
How to cite this article:

Guangzheng Li and Tao Wang, 2011. A New Model for Information Fusion based on Grey Theory. Information Technology Journal, 10: 189-194.

DOI: 10.3923/itj.2011.189.194

URL: https://scialert.net/abstract/?doi=itj.2011.189.194

COMMENT ON THIS PAPER
 
 
 

 

 
 
 
 
 
 
 
 
 

 
 
 
 
 

Curve Bottom