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基于灰色信息融合的电磁环境复杂度分级方法 被引量:1

Classification method of complexity for electromagnetic environment based on the grey information fusion
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摘要 针对传统电磁环境复杂度度量方法中存在的主观因素多,度量精度不高,自动化程度差等不足,提出了一种基于灰色信息融合技术的电磁环境复杂度智能分级方法。首先计算待度量指标与标准指标之间的关联系数作为多源证据,然后利用D-S证据理论进行有效融合,以此计算待度量指标的灰色关联度。实际计算表明,该方法能明显提高度量结果的分辨率及准确率。 There are still some problems such as poor evaluation accuracy, too many subjective factors and low automation degree existed in traditional electromagnetic environment complexity evaluation methods. In order to solve these problems, an intelligent classification method based on gray information fusion technique is presented for complexity evaluation of electromagnetic environment. This new method takes the relation coefficient based on single feature as the multi-evidences, then the D-S evidence theory is employed to fusion the relation coefficients as the grey relation degree. Experimental results have demonstrated the effectiveness of the presented method on improving the accuracy for complexity evaluation of electromagnetic environment.
出处 《航天电子对抗》 2013年第2期23-26,共4页 Aerospace Electronic Warfare
关键词 电磁环境 复杂度 度量 灰色关联 信息融合 electromagnetic environment complexity evaluation gray relational information fusion
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