Analysis of chaotic electric maximum field by generalized extreme value
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摘要: 通过分析峰值分布及广义极值分布理论关于混沌电场峰值分布的特点,获得一种混沌电场峰值分布的计算方法,结合Bootstrap重采样技术,提出了混沌电场峰值分布参数估计方法,该方法吸取了重采样技术估计的优点,对分布参数置信区间的估计更为准确、实用。以蒙特卡罗仿真和某机械搅拌混响室内电场数据为实例,结果表明,与传统的正态近似法、百分位法、BC-t等方法相比,其计算结果与实际结果更为吻合,证明了该方法具有更高的准确度。Abstract: The traditional parameters estimating methods of maximum field distribution in chaotic electric field are the approximate normal method, percentile method and BC-t method, which all lead to kind of error when used in small samples and non-normal distribution. We make a careful analysis of the chaotic maximum field distribution and generalized extreme value distribution theory, and then a hybrid algorithm about the chaotic maximum field distribution is presented which based on Bootstrap resample technique, and it is found that this method is more practical and veracious through Monte Carlo simulation and reverberation chamber testing.
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