文章基本信息

标题：The Optimization Assignment Model of Multi-sensor Resource Management Based on Rough Entropy
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作者：Xiang-yang Chen ; Sun-yong Wu
期刊名称：International Journal of Grid and Distributed Computing
印刷版ISSN：2005-4262
出版年度：2015
卷号：8
期号：5
页码：233-244
DOI：10.14257/ijgdc.2015.8.5.23
出版社：SERSC
摘要：The management of Multi-sensors in information fusion system occupies an important role with the development of modern weapon platform. Therefore, scientific and rational management of limited sensors resources is essential or urgent, and improvement the capability of air defense operations is necessary. According to the management optimization problem in Multi-sensor optimal resource, we analyzed the definition of rough entropy and presented the method of Multi-sensor management based on rough entropy and target threat degree. By calculating rough entropy of the sensors to the target, the maximum information gain access for each sensor on each target, which acts as cost function, taking into account the target threat degree, and using a linear programming optimization assignment multi-sensor to multi-target. In this paper, we adopted maximum information gain optimization criterion in target tracking, then discussed optimization assignment problem about multi-sensor to multi-target. In addition, we are validate the optimized allocation algorithm with the experimental simulations, and case analysis shows that the effectiveness of the method.
关键词：Multi-sensors management; Rough entropy; Target threat degree