利用混响室测量验证FSV方法

G. Hankins, D. Lewis
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引用次数: 2

摘要

特征选择验证(FSV)方法最初是作为一种标准技术开发的,用于模仿专家对CEM和测量数据集之间并发性的意见。它最近扩展为一种量化不同类型数据集之间一致性的方法。本文介绍了在过模腔中从不同天线位置获得的测量结果的比较。根据混响室可用区域内的场分布,这些数据集在统计上应该是相似的。目的是提出一个可信的评估FSV方法使用标准混响室理论。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Validating the FSV Method using reverberation chamber measurements
The Feature Selective Validation (FSV) Method was originally developed as a standard technique to mimic an expert's opinion of concurrence between CEM and measurement datasets. It has recently expanded as a method to quantify agreement between various types of datasets. This paper presents a comparison of measurements obtained from different antenna positions in an overmoded cavity. Based on the field distributions within the usable area of the reverberation chamber these datasets should appear statistically similar. The objective is to present a credible evaluation of the FSV method using standard reverberation chamber theory.
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