CORRELATION TECHNOLOGY

A New Evaluation Metric for Information Fusion Data Sources

  • JIANG Li ,
  • LIN Jiajun
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  • 1 Shanghai Institute of Technology, Shanghai 200235, China
    2 School of Information Science and Engineering, East China University of Science and Technology, Shanghai 200237, China

Received date: 2009-11-25

  Online published: 2025-05-28

Abstract

Data sources are the initial inputs for information fusion system. Quantitative evaluation of the data sources can provide a basis for algorithm management in information fusion system. By quantitative computing, a new metric_track easiness degree is proposed, which can evaluate the qualities of data sources and is used to describe how easy it is to track the data sources to get ideal tracks. Results show that track easiness degree is intuitive for algorithm management in information fusion system.

Cite this article

JIANG Li , LIN Jiajun . A New Evaluation Metric for Information Fusion Data Sources[J]. Journal of Projectiles, Rockets, Missiles and Guidance, 2010 , 30(5) : 227 -229 . DOI: 10.15892/j.cnki.djzdxb.2010.05.049

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