Identification of UWB emissions from printed circuit boards using principal component analysis
Identification of UWB emissions from printed circuit boards using principal component analysis
复制标题
使用主成分分析识别印刷电路板的 UWB 发射
DOI：
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发表时间：
2013
期刊：
影响因子：
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通讯作者：
C. Obiekezie
中科院分区：
文献类型：
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作者：
Luk R. Arnaut;C. Obiekezie
提出了一种基于方差最大旋转的主成分分析方法，用于复杂PCB超宽带辐射的有效统计表征。该方法提取一组减少的正交本征模式和它们的相关振幅从测量的发射数据在扫描平面。旋转和非旋转的解决方案相互比较和解释物理。该方法示出了从一个现实的蓝牙无线发射器的健康监测测量的带外发射。它表明，从一个现实的PCB排放的建模复杂性可以减少一个以上的数量级，通过减少有关变量的数量。
A novel method for efficient statistical characterization of ultra-wide band emissions from complex PCBs is introduced, based on principal component analysis with varimax rotation. The method extracts a reduced set of orthogonal eigen-modes and their associated amplitudes from measured emissions data across a scanned plane. Rotated and unrotated solutions are intercompared and interpreted physically. The method is illustrated for measured out-of-band emissions from a realistic Bluetooth wireless transmitter for health monitoring. It is shown that the modelling complexity of emissions from a realistic PCB can be reduced by more than one order of magnitude through reduction of the number of pertinent variables.
印刷电路板的经验发射本征模
影响因子：
2.1
作者：
Arnaut L
通讯作者：
Arnaut L