Open-short Normalization Method for a Quick Defect Identification in Branched Traces with High-resolution Time-domain Reflectometry

Y. Shang, M. Shinohara, Eiji Kato, M. Hashimoto, J. Kiljan
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引用次数: 1

Abstract

Time-domain reflectometry (TDR) that employs electro-optical sampling affords excellent resolution at the femtosecond level and exhibits a comprehensible impulse waveform, thereby allowing quick defect identification in a single trace. However, it remains challenging to identify a defect in a trace of multiple branches; the TDR waveform is complex. Generally, the TDR waveform of a defective unit features defect-dependent reflection (DDR) and defect-independent reflection (DIR). DDR is contributed by a branch with the defect; DIR is contributed by the remaining good branches. The DDR (not the DIR) is required to analyze the defect; however, the DIR tends to overwhelm the waveform, rendering interpretation difficult. In this work, we use an open-short normalization (OSN) method to eliminate the DIR. The resulting DDR immediately identifies the defect location and type. The OSN method was verified using both simulation and measurements.
基于高分辨率时域反射法的分支轨迹缺陷快速识别开短归一化方法
时域反射计(TDR)采用电光采样,在飞秒级提供出色的分辨率,并显示出可理解的脉冲波形,从而允许在单个轨迹中快速识别缺陷。然而,在多个分支的跟踪中识别缺陷仍然具有挑战性;TDR波形很复杂。一般来说,缺陷单元的TDR波形具有缺陷依赖反射(DDR)和缺陷独立反射(DIR)两种特征。DDR是由有缺陷的分支贡献的;DIR由剩余的优秀分支提供。需要DDR(而不是DIR)来分析缺陷;然而,DIR往往会压倒波形,使解释变得困难。在这项工作中,我们使用开短归一化(OSN)方法来消除DIR。产生的DDR立即识别缺陷的位置和类型。通过仿真和实测验证了OSN方法的正确性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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