基于马尔可夫链蒙特卡罗的设备级电磁脉冲效应贝叶斯评估方法

2016 Asia-Pacific International Symposium on Electromagnetic Compatibility (APEMC) Pub Date : 2016-05-17 DOI:10.1109/APEMC.2016.7522828

C. Yuhao, Liu Kejie, Xie Yanzhao

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引用次数: 4

摘要

为了评估电磁脉冲(EMP)环境下器件的敏感性，仿真试验被认为是一种有效的方法。但在模拟试验中，获得的数据很少，无法对效果进行评价。提出了一种基于贝叶斯方法的通信设备效应阈值模型。采用马尔可夫链蒙特卡罗(MCMC)算法对模型参数进行优化。

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Bayesian assessment method of device-level electromagnetic pulse effect based on Markov Chain Monte Carlo

To assess the susceptibility of device under electromagnetic pulse (EMP) environment, simulation test is believed as an effective method. But during simulation tests, few data can be obtained to assess effect. This paper presents an effect threshold model of a communication device based on Bayesian method. The model parameters are optimized by Markov Chain Monte Carlo (MCMC) algorithm.

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2016 Asia-Pacific International Symposium on Electromagnetic Compatibility (APEMC)

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