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A method of Radiation Source Identification based on DST-IFS

机译:一种基于DST-IFS的辐射源识别方法

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Aiming at the current complex electromagnetic environment, radiation informations obtained by different sensorsare different, resulting in different identification confidence levels. Based on the abundant analyses on evidence weight measurement on information confidence, this paper applies the original evidence of decision-making to assign values to intuitionistic fuzzy membership and nonmembership under the DS framework, and then makes decision based on intuitionistic fuzzy decision -making methods, and proposes a radiation source identification method based on a combination of DS evidence theory and intuitionistic fuzzy set (Dempster-Shafer evidence theory-intuitionistic fuzzy set, DST-IFS). Experiments show that this algorithm can meet the actual requirements on confidence difference of information obtained by multiple sensors under complex electromagnetic environment, and improve the accuracy rate of radiation source identification results.
机译:针对目前的复杂电磁环境,通过不同的传感器获得的辐射信息不同,导致不同的识别置信度水平。根据对信息信心的证据重量衡量的丰富分析,本文适用于DS框架下的决策的原始证据,以指定价值观,然后根据直觉模糊决策制定方法进行决策,并提出了一种基于DS证据理论和直觉模糊集合的组合的辐射源识别方法(Dempster-Shafer证据理论 - 直觉模糊集,DST-IFS)。实验表明,该算法可以满足复杂电磁环境下多个传感器获得的信息置信差的实际要求,提高辐射源识别结果的精度率。

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