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最大隶属度在多传感器信息融合航迹相关中的应用 被引量:4

Application of maximum membership grade in track correlation of multi-sensor information fusion
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摘要 针对采用多传感器航迹相关在某试飞指控系统中的应用,提出了一种基于最大隶属度原则的航迹相关融合算法,并引入意见一致性理论。该算法利用在推理结论的模糊集合中取隶属度最大的元素即可作为输出量,因而在无需对实际系统作任何改进的情况下,可获得较好的航迹相关效果。结合试飞指控系统给出了应用该方法的具体步骤和实例,通过仿真实验证明该算法的有效性。 In multi-sensor information fusion system, the information supplied by each sensor is inaccurate, fuzzy and sometimes conflict with each other. Considering the application of the multi-sensor track correlation in a certain command control system, we put forward a track correlation fusion algorithm based on the rule of maximum membership grade, and introduced in the opinion consistency theory. In the algorithm, the element with the maximum degree of membership in the fuzzy set of interference conclusion is selected as the output, and a fairly good track correlation effect can be obtained without making any improvement to the practical system. The application method, steps and a practical example are presented. And simulations are carried out to verify the effectiveness of the algorithm.
出处 《电光与控制》 北大核心 2008年第8期10-13,共4页 Electronics Optics & Control
基金 中国航空科学基金资助项目(01I30011)
关键词 信息融合 多传感器 最大隶属度 航迹相关 意见一致性 information fusion multi-sensor maximum degree of membership track correlation opinion consistency
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