随机性
云计算
计算机科学
干扰
加权
过程(计算)
量化(信号处理)
通信系统
数据挖掘
分布式计算
算法
数学
电信
热力学
统计
操作系统
物理
医学
放射科
作者
Yang Mi,Jianzhong Chen,Yingtao Niu
标识
DOI:10.1109/eiis.2017.8298565
摘要
With the development and application of new anti-jamming technology, the anti-jamming capability evaluation of communication system has been an important issue for electronic warfare. Aiming at the uncertainty caused by the fuzziness and randomness of evaluation indexes and the subjectivity of experts during evaluation process, an information fusion method based on cloud model and D-S evidence theory is proposed to evaluate anti-jamming capability more scientifically and objectively. This method designs cloud model of comment grades to construct the basic possibility assignment function of every index which is called cloud-evidence in this paper. And the evaluation results are determined by linearly weighting of quantization values of the comment and the basic possibility assignment which is synthesized by the improved evidence infusion rules based on evidence distance. Taken the direct sequence spread spectrum communication system as an example, the simulation results show that the rationality and effectiveness of the method. It further enhances the credibility of the evaluation process by the effective integration of the fuzziness and randomness. This study provides a beneficial reference value for the development and demonstration of communication system.
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