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Efficiency of Sequential Spatial Adaptive Sampling Algorithm to Accelerate Multifrequency Near-Field Scanning Measurement
IEEE Transactions on Electromagnetic Compatibility ( IF 2.0 ) Pub Date : 2022-01-13 , DOI: 10.1109/temc.2021.3136096
Sebastien Serpaud 1 , Alexandre Boyer 2 , Sonia Ben Dhia 2 , Fabio Coccetti 1
Affiliation  

Near-field scanning is an attractive method to diagnose conducted and radiated emission issues at board or circuit level. However, the long measurement time to scan a dense electronic board at numerous frequencies is a major drawback that limits its growth in industry. To overcome this problem, methods to accelerate the measurement, such as the sequential spatial adaptive sampling algorithm, must be found. This method was developed to speed up a near-field scans measured in frequency domain at only one frequency. The proposed article capitalizes on this method to extend its principle and demonstrate its effectiveness for near-field scans measured at multiple frequencies. Several measurement strategies and frequency segmentation approaches are compared. A definition of the best strategy and approach to allow a time reduction factor of almost one order magnitude compared to the full sampling measurement has been proposed.

中文翻译:


高效顺序空间自适应采样算法加速多频近场扫描测量



近场扫描是诊断电路板或电路级传导和辐射发射问题的一种有吸引力的方法。然而,以多种频率扫描密集电子板的测量时间长是限制其在工业中发展的主要缺点。为了克服这个问题,必须找到加速测量的方法,例如顺序空间自适应采样算法。开发这种方法是为了加速仅在一个频率的频域中测量的近场扫描。所提出的文章利用这种方法来扩展其原理并证明其在多个频率下测量的近场扫描的有效性。比较了几种测量策略和频率分段方法。已经提出了最佳策略和方法的定义,以允许与完整采样测量相比时间减少几乎一个数量级。
更新日期:2022-01-13
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