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논문검색

Relative Entropy Evaluation Method for Multi-sensor Target Recognition

원문정보

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

저자정보

  • 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

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