Earticle

초록

영어

The aim of this paper is to propose a new multi-sensor target recognition method base on relative entropy evaluation theory. There are several influencing factors in the target recognition problem, which needs several sensors to work together. Then the multi-sensor target recognition problem can be regarded as a multi-attribute decision making problem. Relative entropy measure can depict the closeness of the two systems, and then this paper will use it to develop an improved TOPSIS method for the multi-sensor target recognition problem. A new characteristic index weights method is proposed, which can avoid the subjectivity of the weight of characteristic indexes. Finally, an application example is used to illustrate the effectiveness and feasibility of the proposed method.

목차

Abstract
 1. Introduction
 2. Multi-Sensor Target Recognition Model
 3. Relative Entropy Evaluation for Multi-sensor Target Recognition
 4. Example Study
 5. Conclusions
 Acknowledgements
 References

키워드

저자

• Haiping Ren [ School of Software, Jiangxi University of Science and Technology, Nanchang 330013,China ]
• Xiaohong Qiu [ School of Software, Jiangxi University of Science and Technology, Nanchang 330013,China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Control and Automation

• 간기

  월간

• pISSN

  2005-4297

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605